Added jupyter notebook converter script. Converts markdown (.md) tutorials to jupyter notebook (.ipynb).

22 files changed, 1649 insertions, 0 deletions

diff --git a/tutorials/generate_notebook.sh b/tutorials/generate_notebook.sh
new file mode 100755
index 0000000..33367d5
--- /dev/null
+++ b/tutorials/generate_notebook.sh
@@ -0,0 +1,22 @@
+#!/bin/bash
+
+# Process each module_# directory
+for module_path in module_*; do
+    [ -d "$module_path" ] || continue
+
+    module_name=$(basename "$module_path")             # e.g., module_1
+    notebook_dir="$module_path/notebook_${module_name#module_}"  # notebook_1, notebook_2, etc.
+
+    mkdir -p "$notebook_dir"
+
+    # Convert each .md file in the module root (not recursive)
+    for mdfile in "$module_path"/*.md; do
+        [ -f "$mdfile" ] || continue
+
+        filename_no_ext=$(basename "$mdfile" .md)
+        output_file="$notebook_dir/$filename_no_ext.ipynb"
+
+        pandoc -f markdown -t ipynb "$mdfile" -o "$output_file"
+        echo "Converted $mdfile -> $output_file"
+    done
+done
diff --git a/tutorials/module_1/notebook_1/classes_and_objects.ipynb b/tutorials/module_1/notebook_1/classes_and_objects.ipynb
new file mode 100644
index 0000000..f21002b
--- /dev/null
+++ b/tutorials/module_1/notebook_1/classes_and_objects.ipynb
@@ -0,0 +1,42 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Modular Programming\n",
+    "\n",
+    "## 1. Introduction\n",
+    "\n",
+    "-   A. What is Object-Oriented Programming?\n",
+    "-   B. Why use OOP? (vs. procedural)\n",
+    "-   C. Real-world analogies (e.g., modeling components like pumps,\n",
+    "    motors, or vehicles)\n",
+    "\n",
+    "| \\## 2. Core OOP Concepts - A. **Classes and Objects** - Definitions - Syntax in Python - B. **Attributes and Methods** - Instance variables - Functions inside classes - C. **Encapsulation** - Public vs private variables - Using `__init__` and `self` - D. **Inheritance** - Parent and child classes - Reuse and extension of code - E. **Polymorphism** *(brief overview)* - Method overriding - Flexibility in interfaces |\n",
+    "|----:|\n",
+    "|                                                                                                                                                                                \\## 3. Python OOP Syntax and Examples - A. Define a simple class (e.g., `Spring`) - B. Instantiate objects and use methods - C. Show `__init__`, `__str__`, custom methods - D. Add a derived class (e.g., `DampedSpring` inherits from `Spring`) |\n",
+    "\n",
+    "## 4. Engineering Applications of OOP\n",
+    "\n",
+    "-   A. Modeling a mechanical system using classes\n",
+    "    -   Example: Mass-Spring-Damper system\n",
+    "-   B. Creating reusable components (e.g., `Material`, `Beam`, `Force`)\n",
+    "-   C. Organizing simulation code with OOP\n",
+    "\n",
+    "------------------------------------------------------------------------\n",
+    "\n",
+    "## 5. Hands-On Coding Activity\n",
+    "\n",
+    "-   A. Write a class for a basic physical component (e.g., `Motor`)\n",
+    "-   B. Add behavior (e.g., `calculate_torque`)\n",
+    "-   C. Extend with inheritance (e.g., `ServoMotor`)\n",
+    "-   D. Bonus: Integrate two objects to simulate interaction"
+   ],
+   "id": "8358dbad-84d7-4413-ae4a-bd5eedae2a3b"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/computational_expense.ipynb b/tutorials/module_1/notebook_1/computational_expense.ipynb
new file mode 100644
index 0000000..913340d
--- /dev/null
+++ b/tutorials/module_1/notebook_1/computational_expense.ipynb
@@ -0,0 +1,15 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Computational Expense"
+   ],
+   "id": "e24c5ff9-9d59-4246-a704-dae65913b15b"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/computing_fundamentals.ipynb b/tutorials/module_1/notebook_1/computing_fundamentals.ipynb
new file mode 100644
index 0000000..637967b
--- /dev/null
+++ b/tutorials/module_1/notebook_1/computing_fundamentals.ipynb
@@ -0,0 +1,31 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Computing Fundamentals\n",
+    "\n",
+    "## Using computers as a tool for engineers\n",
+    "\n",
+    "## How do computers work?\n",
+    "\n",
+    "Globe analogy: Hardware, Kernel, Shell, Application, Software.\n",
+    "\n",
+    "## Interfaces\n",
+    "\n",
+    "### Text editor for Scripting\n",
+    "\n",
+    "### Command window\n",
+    "\n",
+    "Command window, terminal, console, command prompt you might’ve heard of\n",
+    "theses terms before. They all essentially mean the same thing. The\n",
+    "command window is used to control your system."
+   ],
+   "id": "b29f9832-430f-43db-b29b-2f3acabe22bd"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/control_structures.ipynb b/tutorials/module_1/notebook_1/control_structures.ipynb
new file mode 100644
index 0000000..ce69e3a
--- /dev/null
+++ b/tutorials/module_1/notebook_1/control_structures.ipynb
@@ -0,0 +1,198 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Control Structures\n",
+    "\n",
+    "Control structures allow us to control the flow of execution in a Python\n",
+    "program. The two main types are **conditional statements (`if`\n",
+    "statements)** and **loops (`for` and `while` loops)**.\n",
+    "\n",
+    "## Conditional Statements\n",
+    "\n",
+    "Conditional statements allow a program to execute different blocks of\n",
+    "code depending on whether a given condition is `True` or `False`. These\n",
+    "conditions are typically comparisons, such as checking if one number is\n",
+    "greater than another.\n",
+    "\n",
+    "### The `if` Statement\n",
+    "\n",
+    "The simplest form of a conditional statement is the `if` statement. If\n",
+    "the condition evaluates to `True`, the indented block of code runs.\n",
+    "Otherwise, the program moves on without executing the statement.\n",
+    "\n",
+    "For example, consider a situation where we need to determine if a person\n",
+    "is an adult based on their age. If the age is 18 or greater, we print a\n",
+    "message saying they are an adult.\n",
+    "\n",
+    "### The `if-else` Statement\n",
+    "\n",
+    "Sometimes, we need to specify what should happen if the condition is\n",
+    "`False`. The `else` clause allows us to handle this case. Instead of\n",
+    "just skipping over the block, the program can execute an alternative\n",
+    "action.\n",
+    "\n",
+    "For instance, if a person is younger than 18, they are considered a\n",
+    "minor. If the condition of being an adult is not met, the program will\n",
+    "print a message indicating that the person is a minor.\n",
+    "\n",
+    "### The `if-elif-else` Statement\n",
+    "\n",
+    "When dealing with multiple conditions, the `if-elif-else` structure is\n",
+    "useful. The program evaluates conditions in order, executing the first\n",
+    "one that is `True`. If none of the conditions are met, the `else` block\n",
+    "runs.\n",
+    "\n",
+    "For example, in a grading system, different score ranges correspond to\n",
+    "different letter grades. If a student’s score is 90 or higher, they\n",
+    "receive an “A”. If it’s between 80 and 89, they get a “B”, and so on. If\n",
+    "none of the conditions match, they receive an “F”.\n",
+    "\n",
+    "### Nested `if` Statements\n",
+    "\n",
+    "Sometimes, we need to check conditions within other conditions. This is\n",
+    "known as **nesting**. For example, if we first determine that a person\n",
+    "is an adult, we can then check if they are a student. Based on that\n",
+    "information, we print different messages.\n",
+    "\n",
+    "``` python\n",
+    "# Getting user input for the student's score\n",
+    "score = int(input(\"Enter the student's score (0-100): \"))\n",
+    "\n",
+    "if 0 <= score <= 100:\n",
+    "    if score >= 90:\n",
+    "        grade = \"A\"\n",
+    "    elif score >= 80:\n",
+    "        grade = \"B\"\n",
+    "    elif score >= 70:\n",
+    "        grade = \"C\"\n",
+    "    elif score >= 60:\n",
+    "        grade = \"D\"\n",
+    "    else:\n",
+    "        grade = \"F\"  # Score below 60 is a failing grade\n",
+    "\n",
+    "\n",
+    "    if grade == \"F\":\n",
+    "        print(\"The student has failed.\")\n",
+    "        retake_eligible = input(\"Is the student eligible for a retest? (yes/no): \").strip().lower()\n",
+    "        \n",
+    "        if retake_eligible == \"yes\":\n",
+    "            print(\"The student is eligible for a retest.\")\n",
+    "        else:\n",
+    "            print(\"The student has failed the course and must retake it next semester.\")\n",
+    "\n",
+    "    \n",
+    "```\n",
+    "\n",
+    "------------------------------------------------------------------------\n",
+    "\n",
+    "## Loops in Python\n",
+    "\n",
+    "Loops allow a program to execute a block of code multiple times. This is\n",
+    "especially useful for tasks such as processing lists of data, performing\n",
+    "repetitive calculations, or automating tasks.\n",
+    "\n",
+    "### The `for` Loop\n",
+    "\n",
+    "A `for` loop iterates over a sequence, such as a list, tuple, string, or\n",
+    "a range of numbers. Each iteration assigns the next value in the\n",
+    "sequence to a loop variable, which can then be used inside the loop.\n",
+    "\n",
+    "For instance, if we have a list of fruits and want to print each fruit’s\n",
+    "name, a `for` loop can iterate over the list and display each item.\n",
+    "\n",
+    "Another useful feature of `for` loops is the `range()` function, which\n",
+    "generates a sequence of numbers. This is commonly used when we need to\n",
+    "repeat an action a specific number of times. For example, iterating from\n",
+    "0 to 4 allows us to print a message five times.\n",
+    "\n",
+    "Additionally, the `enumerate()` function can be used to loop through a\n",
+    "list while keeping track of the index of each item. This is useful when\n",
+    "both the position and the value in a sequence are needed.\n",
+    "\n",
+    "``` python\n",
+    "fruits = [\"apple\", \"banana\", \"cherry\"]  \n",
+    "for x in fruits:  \n",
+    "  print(x)\n",
+    "```\n",
+    "\n",
+    "``` python\n",
+    "for x in range(6):  \n",
+    "  print(x)  \n",
+    "else:  \n",
+    "  print(\"Finally finished!\")\n",
+    "```\n",
+    "\n",
+    "### The `while` Loop\n",
+    "\n",
+    "Unlike `for` loops, which iterate over a sequence, `while` loops\n",
+    "continue running as long as a specified condition remains `True`. This\n",
+    "is useful when the number of iterations is not known in advance.\n",
+    "\n",
+    "For example, a countdown timer can be implemented using a `while` loop.\n",
+    "The loop will continue decreasing the count until it reaches zero.\n",
+    "\n",
+    "It’s important to be careful with `while` loops to avoid infinite loops,\n",
+    "which occur when the condition never becomes `False`. To prevent this,\n",
+    "ensure that the condition will eventually change during the execution of\n",
+    "the loop.\n",
+    "\n",
+    "A `while` loop can also be used to wait for a certain event to occur.\n",
+    "For example, in interactive programs, a `while True` loop can keep\n",
+    "running until the user provides a valid input, at which point we break\n",
+    "out of the loop.\n",
+    "\n",
+    "``` python\n",
+    "i = 1  \n",
+    "while i < 6:  \n",
+    "  print(i)  \n",
+    "  i += 1\n",
+    "```\n",
+    "\n",
+    "------------------------------------------------------------------------\n",
+    "\n",
+    "## Loop Control Statements\n",
+    "\n",
+    "Python provides special statements to control the behavior of loops.\n",
+    "These can be used to break out of a loop, skip certain iterations, or\n",
+    "simply include a placeholder for future code.\n",
+    "\n",
+    "### The `break` Statement\n",
+    "\n",
+    "The `break` statement is used to exit a loop before it has iterated\n",
+    "through all its elements. When the `break` statement is encountered, the\n",
+    "loop stops immediately, and the program continues executing the next\n",
+    "statement outside the loop.\n",
+    "\n",
+    "For instance, if we are searching for a specific value in a list, we can\n",
+    "use a `break` statement to stop the loop as soon as we find the item,\n",
+    "instead of continuing unnecessary iterations.\n",
+    "\n",
+    "### The `continue` Statement\n",
+    "\n",
+    "The `continue` statement is used to skip the current iteration and\n",
+    "proceed to the next one. Instead of exiting the loop entirely, it simply\n",
+    "moves on to the next cycle.\n",
+    "\n",
+    "For example, if we are iterating over numbers and want to skip\n",
+    "processing number 2, we can use `continue`. The loop will ignore that\n",
+    "iteration and proceed with the next number.\n",
+    "\n",
+    "### The `pass` Statement\n",
+    "\n",
+    "The `pass` statement is a placeholder that does nothing. It is useful\n",
+    "when a block of code is syntactically required but no action needs to be\n",
+    "performed yet.\n",
+    "\n",
+    "For example, in a loop where a condition has not yet been implemented,\n",
+    "using `pass` ensures that the code remains valid while avoiding errors."
+   ],
+   "id": "bd5766da-a032-4dda-a018-e6fb3314f09b"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/functions.ipynb b/tutorials/module_1/notebook_1/functions.ipynb
new file mode 100644
index 0000000..28a9201
--- /dev/null
+++ b/tutorials/module_1/notebook_1/functions.ipynb
@@ -0,0 +1,104 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Functions\n",
+    "\n",
+    "Like a traditional mathematical functions, python functions can take an\n",
+    "input, process it, and give an output. In python, the input variables\n",
+    "are referred to as *arguments*. Functions are blocks of code that is run\n",
+    "every time it’s called. This allows us to re-use code.\n",
+    "\n",
+    "Functions are defined by using the <code> def </code> keyword. Reminder:\n",
+    "it is important to keep track of indentations as it signifies the end of\n",
+    "the function when the indentation returns back to the same level.\n",
+    "\n",
+    "## Defining Functions\n",
+    "\n",
+    "### Simple function\n",
+    "\n",
+    "A simple function with no input variable can be useful if you need to\n",
+    "re-use code multiple times without having to re-write it.\n",
+    "\n",
+    "``` python\n",
+    "    def function_name():\n",
+    "        print(\"This is from a function\")\n",
+    "```\n",
+    "\n",
+    "### Defining a function with one input\n",
+    "\n",
+    "We can pass variables through to the function to be processed as\n",
+    "follows:\n",
+    "\n",
+    "``` python\n",
+    "    def function(x):\n",
+    "        print(x + \" is best\")\n",
+    "```\n",
+    "\n",
+    "Note input variables can be of any data type (integer, float, string,\n",
+    "etc.). \\### Returning values from a function If we want to calculate a\n",
+    "value and pass it back to the script for further use, we can use the\n",
+    "`return` keyword. Let’s define a linear function that takes two inputs,\n",
+    "`x` and `b`, computes the corresponding `y` value, and returns it so it\n",
+    "can be used elsewhere in the code.\n",
+    "\n",
+    "``` python\n",
+    "    def function(x, b):\n",
+    "        y = 3*x+b\n",
+    "        return y\n",
+    "```\n",
+    "\n",
+    "For multiple output variables we can add \\## Calling functions Now that\n",
+    "we’ve covered defining functions we want to call the function in order\n",
+    "to execute the block inside the function. To do this, we simply re-call\n",
+    "the function name as follows.\n",
+    "\n",
+    "``` python\n",
+    "function(2,-1)\n",
+    "```\n",
+    "\n",
+    "Note that when running this code, nothing happens. This is because we\n",
+    "haven’t told the computer what to do with the output. Hence, if we wish\n",
+    "to store the output then we need to use the assign operator `=`.\n",
+    "\n",
+    "``` python\n",
+    "output = function(2,-1)\n",
+    "\n",
+    "print(output)\n",
+    "```\n",
+    "\n",
+    "In case you want to return multiple output variable from a single\n",
+    "function we will have…\n",
+    "\n",
+    "## Summary\n",
+    "\n",
+    "``` python\n",
+    "def function_name(argument1, argument2, argument3):\n",
+    "    output1 = argument1 * argument2 - argument3\n",
+    "    output2 = argument2 + argument3\n",
+    "    return output1, output2\n",
+    "\n",
+    "[solution1, solution2] = function_name(1,2,3)\n",
+    "```\n",
+    "\n",
+    "-   `def` - defines a function. All the code that is indented underneath\n",
+    "    is considered inside the function block.\n",
+    "-   `function_name` - this is used to call the function block.\n",
+    "-   `argument1` (optional) - input variable. This is data that can be\n",
+    "    pass to the function. It is possible to have multiple variables\n",
+    "    separated by a comma. As well as can be omitted if the function\n",
+    "    should just give you an output such as.\n",
+    "-   `return` (optional) - if you wish to return something to your\n",
+    "    script, the return keyword is used. The keyword can be followed by\n",
+    "    an output variable or a constant. For multiple output variables,\n",
+    "    separate them by a comma."
+   ],
+   "id": "c549f9ae-7280-471e-a7e3-92d3340b7514"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/fundamentals_of_programming.ipynb b/tutorials/module_1/notebook_1/fundamentals_of_programming.ipynb
new file mode 100644
index 0000000..79240a7
--- /dev/null
+++ b/tutorials/module_1/notebook_1/fundamentals_of_programming.ipynb
@@ -0,0 +1,35 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Fundamentals of programming\n",
+    "\n",
+    "## Orientation of common interfaces\n",
+    "\n",
+    "In this section we will cover the use and purpose of some common\n",
+    "interfaces that you’ll be using in this course.\n",
+    "\n",
+    "### Command window, terminal, console, command prompt.\n",
+    "\n",
+    "This is a text based interface that allows the users to interact with\n",
+    "the computer. It is used to execute commands, run scripts or programs.\n",
+    "\n",
+    "### Text Editor / Script\n",
+    "\n",
+    "Your text editor is the program used to write a script which can be\n",
+    "re-run every time you call it from the command window. This can be a\n",
+    "built-in text editor such as Spyder and MATLAB provide or an external on\n",
+    "such a notepad++.\n",
+    "\n",
+    "      Globe analogy: Hardware, Kernel, shell, Application software.\n",
+    "    - Scripting"
+   ],
+   "id": "a283b045-32a1-410b-a754-ad14dd955347"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/installing_anaconda.ipynb b/tutorials/module_1/notebook_1/installing_anaconda.ipynb
new file mode 100644
index 0000000..76ddc77
--- /dev/null
+++ b/tutorials/module_1/notebook_1/installing_anaconda.ipynb
@@ -0,0 +1,181 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Installing Anaconda\n",
+    "\n",
+    "This tutorial will cover the steps on how to install Anaconda.\n",
+    "\n",
+    "*Note for Advanced users: For those who wish to have a lightweight\n",
+    "installation, can install miniconda or miniForge, however for this\n",
+    "course we will show you how to use Anaconda Navigator. If you’ve never\n",
+    "used the programs before then using Anaconda is recommended.*\n",
+    "\n",
+    "### What is Anaconda?\n",
+    "\n",
+    "Anaconda Distribution is a popular open-source Python distribution\n",
+    "specifically designed for scientific computing, data science, machine\n",
+    "learning, and artificial intelligence applications. It simplifies the\n",
+    "set up and use of Python for data science, machine learning, and\n",
+    "scientific computing. It comes with all the important tools you need,\n",
+    "like NumPy, Pandas, and JupyterLab, so you don’t have to install\n",
+    "everything separately. The Conda package manager helps you install and\n",
+    "update software without worrying about breaking other programs. It also\n",
+    "lets you create separate environments, so different projects don’t\n",
+    "interfere with each other. Additionally, Anaconda includes programs like\n",
+    "JupyterLab for interactive coding, and Spyer a MATLAB-like IDE.\n",
+    "\n",
+    "------------------------------------------------------------------------\n",
+    "\n",
+    "## Instructions\n",
+    "\n",
+    "1.  Find the latest version of Navigator from the official Anaconda\n",
+    "    Inc. website: [Download Anaconda](https://www.anaconda.com/download)\n",
+    "\n",
+    "2.  Press the *Download Now* button.\n",
+    "\n",
+    "3.  Press the *Skip registration* button below the submit button,\n",
+    "    otherwise submit your email address to subscribe to the Anaconda\n",
+    "    email list.\n",
+    "\n",
+    "4.  Under Anaconda Installers press *Download* or find the appropriate\n",
+    "    version for your operating system below.\n",
+    "\n",
+    "Proceed to next section for your respective operating system.\n",
+    "\n",
+    "### Windows\n",
+    "\n",
+    "1.  Once the download is complete, double click the executable (.exe)\n",
+    "    file to start the installer. Proceed with the installation\n",
+    "    instructions.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_01_welcome.png\"\n",
+    "alt=\"Welcome screen\" />\n",
+    "<figcaption aria-hidden=\"true\">Welcome screen</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_02_terms.png\"\n",
+    "alt=\"Terms and conditions\" />\n",
+    "<figcaption aria-hidden=\"true\">Terms and conditions</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  Select the *Just Me* recommended option.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_03_for.png\"\n",
+    "alt=\"Install for\" />\n",
+    "<figcaption aria-hidden=\"true\">Install for</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  You can leave the destination folder as is, just make sure you have\n",
+    "    a minimum of ~5 GB available storage space. Press *Next* to proceed.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_04_destination.png\"\n",
+    "alt=\"Installation destination\" />\n",
+    "<figcaption aria-hidden=\"true\">Installation destination</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  It is recommended to register Anaconda3 as the default python\n",
+    "    version if you already have an instance of python installed.\n",
+    "    Otherwise, you can leave the checkboxes as defaults.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_05_advanced.png\"\n",
+    "alt=\"Avanced Options\" />\n",
+    "<figcaption aria-hidden=\"true\">Avanced Options</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_06_installing.png\"\n",
+    "alt=\"Installing\" />\n",
+    "<figcaption aria-hidden=\"true\">Installing</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_07_installing2.png\"\n",
+    "alt=\"Installing 2\" />\n",
+    "<figcaption aria-hidden=\"true\">Installing 2</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_08_installing_complete.png\"\n",
+    "alt=\"Complete\" />\n",
+    "<figcaption aria-hidden=\"true\">Complete</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_09_cloud.png\"\n",
+    "alt=\"Cloud\" />\n",
+    "<figcaption aria-hidden=\"true\">Cloud</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"attachment:figures/installingAnaconda_windows_installer_10_finish.png\"\n",
+    "alt=\"Finish\" />\n",
+    "<figcaption aria-hidden=\"true\">Finish</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  You made it! Anaconda is now installed, you are ready for launch.\n",
+    "    Assuming that you didn’t add Anaconda to PATH environment variable\n",
+    "    you will need to start navigator from the start menu.\n",
+    "\n",
+    "### Mac/Linux\n",
+    "\n",
+    "Anaconda provides installation documentation for Mac and Linux users,\n",
+    "please refer to the [documentation\n",
+    "page](https://docs.anaconda.com/anaconda/install/)."
+   ],
+   "attachments": {
+    "figures/installingAnaconda_windows_installer_01_welcome.png": {
+     "image/png": 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lkgYK+w8e1AFf3vfv2xfJyb4e4oiIiDrqt48+Ckdqaqp306ZNxizqKKk/l05k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\nS0rYVTA33hEREVEvBPx/iOzW/zss6/kAAAAASUVORK5CYII=\n"
+    },
+    "figures/installingAnaconda_windows_installer_02_terms.png": {
+     "image/png": 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jHtqWAchzY34CyPDs+mg3QBdPx5TnVuhBW/Fyh2jrbFjDBou5Qmaj3buhTY4o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\nTkSuQmCC\n"
+    },
+    "figures/installingAnaconda_windows_installer_03_for.png": {
+     "image/png": 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e06K/m15e4Rw+qiukvGC6TNMdXFMnmfM9yxjrHgBbW4aWKZQsZ/saSutkrD3K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\nABAyhDcAACFDeAMAEDKENwAAoSLy/1BSgkBnOdq/AAAAAElFTkSuQmCC\n"
+    },
+    "figures/installingAnaconda_windows_installer_04_destination.png": {
+     "image/png": 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iuuTJ55yybCqZWUFtq5riy+OyrM7lOKyvEpf9mDnm7bavuJVp4rI5uDfSTK99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\n"
+    },
+    "figures/installingAnaconda_windows_installer_05_advanced.png": {
+     "image/png": 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m3D2sB7EH4uUxh+aw5yrC56xTXqz8rJeRCHcP77wXpns5furVTmReOsYqj6qj\nPK/CZfnuZz9ykL5yAV0+ifetVgKofJYZyvXpKskzC8QPkdGUty++u9e6DLaUOXsVrfIamnc8m0S+\n1zCosnZay0zVzlpZvnBxJOXr1M8sa/RykvuihirPyZLTB9rXOx8ob6nz81RjP/KYTZdXbKcdqsC2\nlkn0zW9Oou2JANFPSmicW4b6m047+uvs7w/WOsngEJ2AjLEvmw8aShNOOJNOP+4MqmldQeedchHt\nOxh+r9rEAWHwazucp5dF09GIo0bS2Sc6S+BB+N7yLat/Jj1s/hkV//TpyKFD5cGfjz1mmOwAv1q3\n3vtpk41JBROkAT/tlPerkAR7/v4qrRJGVWQmyjkqqRwum8v5zcZN8uUqn/vUP9PUj54l5Xpo0+O0\nYPESeV+cDfbBgweFB7+V/uu6b8iH7N548y25fP/JmTNkWfzb6m/c/EMpLxt3NuS/b/ojVX7n+3S3\n+t317AvPl959GB849RSqvn6RrA/LZoONNRtcLuuVV1+lFXfdS1+vulmuBJwpvPtFX5wjZbj+1ttE\nvHflEjkvow8eNNg7WAdcBtfxoY2Pqpx7h/uDA3gqxIBxVeUkz1NfO4m9j3F07Z3VNE3tF7752jaa\nIwahScrLa6veTpe6I9WW7VR4pwhfW0GrL72KyP18oz7IiPw2O2n5HG9duWC2MHbjW+ibqtyutivp\n/qsMA5MYgFsuT6R18uW0Bnk074mN8iRRlLPvtTBsJLwm/uhjp5zsXFkyjmZfXkFb7q9PlG8sl507\n3rvaDZ9ElUvl8CoGWrnc4Z1bJetn01nqOnWp/dkZc5kuXDYP7Gvo8rCNSIxlmtrZ1CZ22RL5OmWb\nZY1YjrEvakRu30B5Cwqt7akzXkRzJnA7aQfnN/tymqT6BO+XPil4YaXVjhn22VQ6ARkTes+7LO/f\naa8w2Ftf/T/65a47afc/OuiZFE+KB1n9zI9oZ2erNNyi+ejjp1wgNzAxUffIBnmv+6QRw+mJ++6i\nlo1rk45C4X0efuewfCELd4Ywis+dJh9E45+a6fzof++SL0YZfvxx1GwoY/1dP6MzPnAavbavk9Y/\n8Ts6Uhizm/7na/KlJ28Jz/env6yliz9XTh+66BIqvPhSKq24Rk4oeEWAfyfN96pv/GqlfJKcf752\ne83ddPG/lYu4s+nMGbPpk1+YK73uw8LAThIe9w++/rVID8Lxb8jr//cn8qUwJgPOzwJ87ftL6MyL\nZkvZzr60lL7+g5vlb7t5JWDJogXyd+d/bHmWtshnAQZR1f98lZ7ZtDbpKCuZLfXLr3V1n7znFZHW\n9nb5ucfgpT31MRI8eNBqulTN+KWX7pxJIJcM2eA6X+V+4KvVUry7H7gY+abpn/lcEPYsLt1O1Xde\nKzwYkacsV3kUYmDboi1bemjlevla5Ul4T+w5XS4G7e08EnL8SRPEkB5ALpkrmcVAXbFFWzo3lctI\n70jJzJtob98hjA7no8VnQnWWuk4+TGWqUyJnNTG6nNb4VgIC2OqjY2uTMNmC4aGyKmzlpOyLabav\nToT6cxvJdXLZnpzfeGE+uU8KY769gi4P1t+Up01XgfDIfTbK9Qkywn7PWzD+hA/Rm4fepH866Vya\ncNyZdOjdg1S7827adyD1S1Z44F+z6z6qf+5XbCOk4T526Pto5ulihm+APdaHH31cpCOaMX0ajRs7\nhk4aOTLp+MzsWeKCGUybt26j3c+/INPKC8jgjHL4Zz91GS1e8GVpvBg2ZOxRM5+7/JNyyTpYBi9h\nnzflHPnztPseWitfacpvLbvntlvpomkfkz9Le+utt6UH/7I4Dhw8RKefNko+FX/+1Cky71NOPome\nXvtr4RVdIt8r/vqbb9ILL/9Nvoed6zri+OPpP8uuoId/tlLeV9dx6mP2rsePHS1fBnPMsKNVCKtX\nxFXx+UE9ftCMy+E3p3HZsy44lx5cfbvUK8M/ZesUkyR+EJDffc6/Ow8eny/9pHzan58vePz/GmW6\nTU9uoQ2/3Syfpu8pJukGKBKzaZXoNM7gz3pzl+2yjbOUOWntZrrWHWXFYMaeEfd15+j+wCTGUDH+\nrqM128UkZlwJXbldDJBtLTQpaeTlMfp+b2l1kNxGU1s6N8GGabww921KXt0D7Skil8lGYEviHm2m\nmNpE6M9b+g0jHf0Y2z51X0ynfdOGDSUbVC+/ccT2fMdO28pNdgivU29dnwOPUOPNzPrgP9Ob771B\nJx79fjrjuLF06jGn0YO776UtLzuv0zSx98Br9O2nvka3/WUJvXH4DRmPDe6loy+ns0+aqmL5GTr0\nCLm5xx1Lq+jb135RLt2auPrKT9Odty6hb1d+iU4QBvDTl86kXyy7hf73lpuMadgI8stQeMmZjfIx\nRw+j7371WplH5dXmTUiGDh0qX6xSc/NN9OUv/CcNVe8Xn35OEdUuX0Yb77mTfvjthXTN5z9LXxPn\n77u9mh6/725aeM0cOv44573mzMknjqTVVTfS5l/dS6sXf5e+JOT48tX/QXfe8gPaUncfVX97kYyj\nU3LRJ+geUZ9bv7XQWp8yMSH4XyHbjOkfl2FshH9y0/dkOve4V0w0fvOzFbTlwV/SvT/6ofTaXfjJ\n/WXf+Qbd/t1vy9+Tm/j45LOF7N+j732tksae7rygZ+SIE+S98DNG2X/+1l0WVBNVjvdf4OvmqO+a\nZysNl/ywjOZId40HiTaqnpa47+fFl0t7leSu1sq0FZeLFNHZuewqqpy0NnGPNpBnWoTII72nG2+k\n7Xx/Ug2+a9YQFSaNvLxkvoUq3OVNPtYGls5NuKsLAk+HPOBSoC7p6kzGT0y8vLwZU5n8edkczdMW\ng//qaYZ6RsDSzh7BVYkwLLJKUpUT1hcV0dtXoPX3aDhe8I03bvfyE6LS/Ve55UXA1o6BOuv9IbRO\nEXQCMkRc9Cl5sP3eruKHp3Zt3vN41/S6iV3THizsOn/NWV1XP3Zl193P/LTriRc2dT354mNd63b/\numvxU9/qKqk/V8aZ/qCKW3dW16LfX9t16J2DKkcA7LRVT+NZYeIQFioYPq2iomvatOqutq61XRVa\n3GnVwh9SCFuWCGur7hJelIpXIVIJOEzmYfnshfnL8KXXw930LnqeTLCMYH4SLmtal1eNtRXJ+TLB\nvCUq7Vp7ua5O+EjoUMXx5KEuqXKTjMFy9e8sq4qv520tU4vPh2rmBG7eYWUK7O0sDktZMjyYr8Aq\nq3bOXo69LyYIaV9bvQJyBOPpyGskGFfk4enWTRvMQ/9uaUc3L+dc1D4bRScgEyLt533w3YO0Ztcv\n6eRjTqHvPbWQDr17SC7Virm+9ASHDDqCF27lW9ne6+Knk/msA58/b9RF9NWPfFN47yerUAAA6CP4\nPQJrLqeuxKPuAMSOlMvmDL8h7V/GXSW3+ORl76OGHC2nUdKAC9v/znuH5Y5hbLg5jA03G/YTh51M\n//WhL9J3p9wCww0A6DPWaT+Jku8RgOEGMSeS562z/1AnNb3SSE/ueYx+//cn6XXxXTrbjLDaQwYP\noYITzpQ7iU075QLKP2GCfEc6AAAAALJD2sY7yHOv76K/HXxJet4nDB1Bpx87mk44arg6CwAAAIBs\n023jDQAAAIDeJdI9bwAAAADkDjDeAAAAQMyA8QYAAABiBow3AAAAEDNgvAEAAICYAeMNAAAAxAwY\nbwAAACBmwHgDAAAAMQPGGwAAAIgZMN4AAABAzIDxBgAAAGIGjDcAAAAQM2C8AQAAgJgB4w0AAADE\nDBhvAAAAIGYMqqmpwX7eAAAAQIwY1CVQnwEAAAAQAwZ1dnbCeAMAAAAxAve8AQAAgJgB4w0AAADE\nDBhvAAAAIGbAeAMAAAAxA8YbAAAAiBkw3gAAAEDMgPEGAAAAYgaMNwAAABAzYLwBAACAmAHjDQAA\nAMQMGG8AAAAgZsB4AwAAADEDxhsAAACIGTDeAAAAQMyA8QYAAABiRo/t531R8Sz1KTqPNqxXnwAA\nAABgo0eN97bG36tvqZk89WMw3gAAAEAE+nzZ/L0emTr0Ah0raObMFdShvsaDDloxczgNr2xQ32NI\nT+k9Tu2ZStaGSho+fCatiFfnBACkQZ8a7+f++jzNLrmMNmywGBM5CAlj4x7ZMjq5MlB3R44M0nas\nmEsLC2ups7pYhfQxcTKYcaK4mjprC2nhXOgWgP5KnxlvNtwVc+dRwfh8Ou+8c1Vogo4VM2l4GVFt\nZyd1qqOW6inGPmMf00C3LSSqmp8jhhv0LMXzqYoW0m24YADol/So8e7qco4guuH+wU030bBhw9SZ\nBOvrhKFpqibd1BRXi+/KW1tRyd54pWPMOczz0BPLhXICkBTeQSvmLqTGxoVUJMJncqAlvY4vL81b\nXC/lcA5vYcCXnyajT26DHCK00ksn8lvhpPHEUXl0GNLa5PNoqKeaqaU0K8/5mhTfy1vhfpd/K6mS\nl9tVfFlPWzjD51RYWvX3pdPaQQ8vEmlUsEeILOY+wAR0rT9uoS07W9P7ZBWHqztLHVK2jy+dSWfO\n4V98cm6DJMK4Tm6ZeTSrdCq17EwqCQDQD+hR4/3Ihg1yWfz5519QIdEMN1PXWEjjlKFJQgz4rSXs\njbNxFwNWUSstcD30plKqU8uFefM2eF67XEaUbkgezVtZRVOnVlGTCN8wr92a3kMMonMXFnqrALWF\nrdTO4Z4cnH851SzldCzPQiqsdcKbqlqozB1dfXIH5SAxEMulBic/cVRbH9gPpJ213iyfRsfOFppa\nOkuk5C+W+thobKGClUourmeZMi7G8Ezrb2sHf36dTSKNk5sfi4zmPsBGz6JrNpjy1AaaJ5RlTm+T\nydIXU+o7is7E4fUxF6HDBSKsXsXlCVr5Aik3kzeukBpbQ1sWABBTetR4f+L88yg/P5/+e85cacCj\nGm7J1ALKVx+TEAO+t/rbsZNaqIbKXK9FDIKNjWpw5IHYDS+rIeGG+I0yE5beJW8cFco4jkGQKwAc\nrsuRX+AM4JyfFp43q5Sm1qjlfj1+kI71VEch58OwyWcj3fiax07FJVQuNLaTFWQKb8i0/pZ2COjT\nikkWbmxTH7DpWhjKIml8NX0Y01tkstUhlb6j9hm3j+lwXVXchvoaKi/Rcub4pj4PAIg9PWq82Tjf\nvOQmacC/IAx4ZMMtKGyso/VRRx0xwLH3Jr0TeYjBkQfdojoqbVJhNo+NMaVXpxyKqVqGl1C9HJid\nQTh3SFe+HK1PynZIk/Y0+gAjyq/VvV5bH2pvTV66dzHWoSf1XUwl5TVU39BA9TXlpNtuKWfhOGe1\nBQDQr+jxB9ZcAz5OGPCohpuZX0W0sMg/yDVUGgY99mqEx2R8MEe/x7u+zj/gut51WHoXMYhXyhuJ\nPAg3UdVU5XmaCOQnyy0vsRshT45ZVGp6wEhbBbDWwSRfYOIjl1Dr1jtemK0+YWW5uPfOg8sibnhx\npvW3tIMMT0zkrHLp6DKa+oBN14L8eRuolsrUMwgCU3r2dk2TS1sdUrVPun0mQLG4WFrKyqilar4v\njbxVUqAaiiciOTfpBABkSo8bb4aN9Y9/tIxuW7YskuFm+F6jvPcnPRXnKCPTgCYGROERtZQl4skH\ngvLm0YJC52EoDpvbWpjwuvic8FY475kr8s3pVVSJGFzFTEKdL6K60pU0z7qm75eniO912n6a5ZOD\n5D1gXY7K9nm0UtOBtQ78sFVQvqC7pRscU32KQ8oShsXVo/wFwIZ5jjdnDM+0/rZ2EPnxveYiJ8wn\nl45JFmsfcO63+3StPbBWXF1LhUI/M9fPsqT3y5R4iM7WFw369rVPGjozwZORqVOp1LtvwHTQ+rpG\nKrQ+OAIAiDN4w9oAgp94LmpdkN7vvNljm0u00jXYLrbwvqCvZeGn0+tL+u7381z+0gJq0utvCgMA\n9Bt61PNmgxz1AD1P3ryVVNVSFu83rOUIDdrPt6Sn31eGWyAfVFsQMNxlLVS1EoYbgP5Kj3neAAAA\nAOgZeuWeNwAAAACyB4w3AAAAEDNgvAEAAICYAeMNAAAAxIwee2BtxsXpP327aSOeggYAAABS0aPG\n+6mtKd+F5XHOlKkw3gAAAEAE4r9szi/oCL4RjbGF5zJxlBn0T/rTdQVAPyTHjbezX7Fx/+Nu0VP5\n9gYNvn2ojS9c6YsBlsvU5Up6j3ZQ5+q7L41zzKysTJa/J+uUywapp2TL5ToDAFKS28Zbbt1YLv6l\nscNYFHoq396goZ43m1Y7VjVRVctScvfQ6HP0HbVqicp045Ck8zyat0HFbary9vXm7xvmF8gkvUbe\nPNow0F4jOhDrDEA/IqeNN++uRKXzqaSwkep0K6t7ed6mEAJbeABjvsoTWaG99jKxM+RML2z48Jma\nsfR7wTK+LoPrfYbkbZPZWmZxNSXexNlOrY2F5N97Qni0c3kfaWdDDbk7lkkmHSlfJVUqT7iyIeEV\nO3I63xNOPtdb14MBuRGKf5cyY1t2F1/dlEw2fcu4ev25HuK7it/hS6e1nZd/ivaU4WF6VHFUmpTy\nmtrSReZjqIv4ZOw7vjK0OtviS1rpNiW/P1xhqgsAoFfIYePNuyKJ8X5WnrAD5YntLHmQEkau0PU+\n2WsLDQ9iy1cgBsnWEpW+tpxqljqDG+9wJsNkeCEtlHs38sDML7VW4eKoLvbLIHdFc0dtY952mc1l\nurhGoZ5Kkva8dnbMcj3ZDfPa7TLpNLZQwUouS8hWxrt8qM9STpHnAvG5XqXjLTfLFyTvXKbRsWIp\n1UwtIGfztRCd29B3CeND1CF5Msb6a6UFrp6aSqlurtNmRn2rXczcajj1COxU56Vjvabbnhwepsc0\n5U1qS03hIXWx9h1f3RLY46u6iHDRNWmhK6skpC4AgB4nd423XGZVeynr21l27KQWMZjN91sse3gQ\nW76Mnj6/IGH8dQ+jrIaoZafw0jifQHkBGfJmldLUmnoxzAlMeYfJbCpTnZIGWi45l1B9Ko8nTCYd\nd99qlk3/LE8KWFcqndwIo8QgtDAOrsEtqitN7GgVpnMbQmZvCV4aB8NkjOtGzpainoF3vX2TvgU8\neXAnIQ31LVQVVL6eLt32ZML0mIG8YVjrYus7ehk61vhKfoGsu7aSEloXAECPk7PGm5dZ3eXC4cPL\nxDCRneXWtPPlga1ImJ6mECOSbSKXWUwl5Y3U2isjJpfFnl4D1deUk8l2s3HwDK52P7Wn2lKilymP\n4EpEgOL5VNXCBljUoyVhnHqNdOUNw1SXdPtrd/p3NusCAEiLnDXe6+saqVxbkualRLncmjeOCjXP\nTRoG/mAL98HLt5Z8VQwjmgeSKG+W8CUXkm81W8qQCJNxg8uyOmEym8rkzysqNU+bDelUKnDWpv24\nXlC6MoVQPL+KWsrKqKVqfhrpM9R5FAJ1i0YezSptofrKemopneVNMIxkUXeSjOQVWD1aS10sfcdK\nhPhJdc+0LgCArJCzxjtpSdpbbi2mar4vV+Qs181tLVSegi1cw7TU7eZr81753mJhYjk4ka9zP7Kl\nzAnno7JByCA8FzesaGFhin2eLTJby5RjphefvViq3ZB871ndD+UlzZkr8tOUKQSesEydKu9dRyZM\n59223n59y0M9hBUGLwG31BAtCLtpL0m3PVORgby+tkyOmVSXkL5jJCy+MM5uuLwN4qt7ZroHAGQH\nvGENRKehkoYvLUjcywYAANAn4N3mIDINlcOpvoSfqlcBAAAA+oQeM94AAAAA6Bly+HfeAAAAADAB\n4w0AAADEDBhvAAAAIGbAeAMAAAAxA8Z7IMBv0UrnN7jpxtfpTtqeIFvy5Fq9GP7pXq79xjqbespF\nneeiTHEC+ssasTTe/B7mpB2WtA7h3yXJjZvY4Sl4mF5+AcII0eVtrSpOgP560fZZvRqosqyFqvi1\npk3qlaapZMmmrHpePZVvLpOpnD2ltzC4HO8a1Xeii0hc2mSAEU/Pe2o5FdbNNW7IwYZbvg3KfRVn\nZy0VLiwSBprs+0enfNMW8ONujGLQpW0v7jzsH51V5MYgge1ge1PHA709s1H/3tIhl+Ndp3j/fH8h\npsvmBTR/gbZ1oUcD3baQqGqlfkE4r3GkqO/SVrNM+57O+i5ewvvxwrU9nb0wLX3YPs+pzjMmGWQ6\n0z7Q6pwbX99O05RPMFyPnyHrgzIpWR2xtZUR44w+Wa+p96hOxLViqbt1P+uUOhHtlO7e6ZJ0+o2p\nfrwdJ8ujdvVyZVPxHfGDZSTLGtoOel5SNrcu3DfFZ+98IF+18pLU/kFknm4cLe+oefnSm/pDsu7t\nfShx7Xll2MJdVFlmXVvKCtavsjKRh68+qdo/kL8nR0TSyje53/hlzcZ1FEDJ59VJ+26st0We/k58\n73kXV1MtlQUuKN7CMbHJgofcRCGN7QpFR/Xv6Wzat5gHsXT28w7b5znVeZsMnM60D7RfjsROUbZ8\nbPEzxCiTQlxoc/kd4UqG2sJgu5j0ys5Dqj2qOTxQlg+7Ds15R9FJcL/tKHunp9tvTPVzJqTeikeS\nbKYyArLOWh/eDto1w5uSFJaT2ju8nVrF5DmxF04gX155SdkmtvpGzcvelon4yR5mlH3LZRllynja\nwn2k018N9ZOk2f4pr6EIRM7X1MezfR1FxChfSF/o58T6gTW5y1XSwJAFREf1NtKw7Vuc9n7ealJh\n2ueZCTsftneyLqseXw93sdbFEj9TTDK5sFGQMjgDYXF1YJA16ZXRZ9e2PaqDZemE6dCUdyY6CaTx\ntb9L2v0mYv10bDrUSdUO4ltJeQvtFEpuby2kEmFoWth6s6yF48SQHkIqmaPoycWUF6ePcj0EsfYh\nbcLPm+aI3HdyZrZwnXT7q4l02z9l20Ug03zDdJ+t68iGSb4wefo5sTbeYqpHK0vr6Lb17nfRuKbd\nqmQH0r2FNBGdj2ed3qyyL+4bZUuGPq+L8BpluSVULy8450IMhQeFbOypbqp7tvKOHanbQYzp1NrO\ne4WLa4d3lOO9w9tbqdC4mXsvk24/7s127vGyMriGIhEx3z67jizy9fmY1jfE23gL8uYtIFooZlvy\nWzEJZ5wW+pZNnGUbSrV3sw05ITDsW5yN/byjYpPBRmAS4+3RbK2LJT7DF2XWBgeByK9S3pTiC7GJ\nqqY63p2HSa+M5gX55ItKmA5NeYfpJIg70w+UIdME2783+o1Nh4zmJYW2g4A9QFq6VO0VznuHE9XX\nU/j+8VFIVd9UeYW1ZRhR+lBDPdVwvGAdbeGZ9Ndg/dJtf1vbdfdaDesTlj7uI+3riG85qPvoQTQd\neWlM8lGGfaEfEHvjLRuytlx9Fn1l3gZqEt44P1whl1Hkntd8r0b1qrQR+YtZZPK+xc69ID08/f28\no2KTwQbrpNC857kxH1v8HkBczKIgVX4R1ZWuDOxHbtBre5p7VBux1D3PlndEnXD6tPZO741+YyqD\ngzVZebUqtB0E3FZi1HT3b+evNcILdwdoDz1f208FfYTUN1JelrZUZ41Y21kgBn9vvODhwn0C3Bbu\nI83+aqxfmu2f8hoKwEZdLiezTCHG3ZavLnOgj8sj4+uonVobp3r9y0PktZLv+wfzMsqXQV/oJ2BX\nMQDAwIUNGz8fGjTMtnCQPfglQ/Ul1JkVB2fg0Q88bwAAAHGjY2cLlefC8xMxBZ43AAAAEDPgeQMA\nAAAxI/7Gm+9NDZAHFCIxUPSR6/VMVz43fn9oP1sdMtWJ+po1clHH/aHdQa8ST+Od7Y6u787ER9Jb\nsWIO60uvXzZ/+pWK3hyU+rKeoPfIpE9lqx8G85F9Tn8lZwNVcr/LVnnZRMqauD68n2hlKqstnVtO\nYBxt4Nex5ppOYsyAXzaX78qVvyZL/Mi/lixve4oz+osMaonK+utFNFDqCfqGPP5dsf83yPw7plYv\nQL0QKi/XNm7h911oL1HhDZs8oXuAqeVU3rLU937zpS1TtZ+Jge4SS+Pdrc0LfHQQX3tVTf438niv\nBfSlV16cnG12Y5ORVOdlFMML/mU6yyYcupz8e04VbIVf9cgDkC9PrX5uXhnW2QsX+k3a1ECj1+rJ\nn631UsZdnlfhLLeojxfHS2eS0Yln3DBBkFm/DCDLC+8zqeXU4qtwr1jtu60eLsY2c04kytfbJkp4\nlHw8DH3Kl5fbhjqBNN0aMxKvjWX41bELFhRSSyLAeSEU58P6U3/T6s+m+rj5eeeT+2qqtiPSd6Er\npmr5E61kfaa+Lrk8Qzv4KKCSUt4PyglvuG0hFZaKABdfHTPvrwOZWBpvfilCtzYvcOH3EjcGtlX0\ncN7MZt4soDubjKQ+b99AwVbP9F7837FiKdW4r4v18uQJSxbq7MomN3FwXmCR2NTAr+jeq6elXpoX\nxR5U8uYbnC7CBhhiMDFuFJFpvzQRqv8ocurxLdjqoZHe5hNh4SZ5bfF1gn0qymYwgTTdGTME/NpY\nxyh10E7uJ2KSWKh2LWyor6HC4ICSVn/2h0fuqynbjicdzotW/MvZyddo6uuSx4rwa5vJn7eAChfe\nJm8hLG2povmz1IkwPafTXwc4/WPZXHSgpJfsR31hve2d54EX6vs3C1CvAeSy9M98junueZ5ZunKn\n2oQjIKcVcVHwDJnzlPudu0t6etps1JlxN3FIddX1Vj2t9Uqx+Qb/tfUhXRYeWIMbJnC4rR6ZbKQQ\npv+ocurtZcJWDx1TmwX06xEWbpLXFj+MQBpfnw3DpBebXDJSAvnaWF5ylpuS8CYt+cJ8cjxhzFvK\nKemny7aybLox1idFX43QdsXVyiiW1Dv1S5rkKKJcl5FQEwahx8IF2i2EMD2bdAWM9O973qIj8KzQ\nm0UGX1gvZ7OGjUz6Er5weuIF/7oucuFeXI7UU4wP4ZtvpOpDkmJKa6OISHmmSVbyTFGPbLZZT+gg\nG0SRi8cNNqheP3He+76zI7hdanYJ76tp9MHiahGvlspNk5wsX5e88+NUMZU3TWhysv1jRHyNdypv\nRRrmVC+sVxuZFPk7ekOl+B5IL1+On41NRqKgebHeS/ltBCYgKeOHka06u5s4uJbT1la9Vc+Qekkv\nyrb5RiCdFTHgJW2YYOucUfNMh0zy1NrE06WpHsGJranNbG0TGm6Q1xbfhCt/IC+ZxtZnszJmMI4X\nvHRpi7dJi0hKdXPdfhQBW11D6hPaV1O1HRtl3dOWHr420dB1k851mVKn82hD0DBH1rOGqb8yXK9U\nk+V+SjyNt/6i/G5uXiA3MuH7Sm4ccZQRXyz+9NnbZCQF1hf82xByWl/8ny7dqLO4GF2ZfZs46G2l\nP9TSq/UMqRePumIkMG++4U8nD9ODMpwouGGC1f2KmGdapJmn0H30jR9kCgdrm9naJiTcKK8tfgBf\nn4qyGYxAT5OFDU/YC24kbYIqAxqT73dbiaabyH01Zduxp16mzouDveuVhmt0/azo16WvHdLpwdH1\nLBHlGPvrAAevRwXdh2e//AxVLizHAwDAAKB/3/MGAAAA+iHwvAEAAICYAc8bAAAAiBkw3gAAAEDM\ngPEGAAAAYgaMNwAAABAzYLwBAACAmAHjDQAAAMQMGG8AAAAgZvTY77xnzJihPkVn06ZN6hMAAAAA\nbPSo8X7qqafUt9Scc845MN4AAABABLBs3t/h9453e+OLHCJqfRoqvU0PbNsWG+kNffW3NgEA9Dp9\naryff/55mj17Nq1fv16FJPA2g5fHTEpr0xqdVANl1gbSDloxU8gay0G5gSp1fadl7XIRUZ+yFqpS\nexJnvBmcrW9wuK6vKFsS9orBTrcdRXxdpkC90tspCgDQm/SZ8WbDXVFRQfn5+XT++eerUA19s/am\nUqoL7Lkdmbx5tKE3drvqWE91VC7+JfbojQ0N9US17qb4TVTVsjTzyVIuwHsVUyFF3p0xE/T+WUtU\nlguTtjTasWPFTGGgy6hGfZe0t1Khl76WChfOjXc/AKAf0yfGWzfcS5cupWHDhqkzFvLGiaFYw+ch\naF550CPiAVXzeJwBSzsn/q2Yu5Aa1V7U0tMw5a3yWFHJYeZJBG8QT6XzqaSwkeq8Hfb1dM7hOkM+\nWXwrC37vScb3yaTKD8nbF79I1M8LtpRZXK15p+3U2phs+Gxpk3WqIWWsFN6dc76yQa1OyM8ygvye\ncBC57rouFJb6+MK9dCIPGcfZZ5hlajDJrvTnFRX8buobNopLqLyxVWjOVp9AXmo/6fWp2i5KW+tE\naEcX3se+s6nKvy+yL30+FWDTZABylh413rwczsvibKxd0jbcjPAoaqYWiOFEfhGDcystcL0e9srn\n8qDrDNqe5xAcmMQAOJc3tlfpagt5sM2jeStFPOVFbZjXbslbIAbe1hIOr6bkVdgOkrZ7Vp4Yx8up\nsW69k4bx0omjtpxqljr5ycHTLYc35b+NR2Me/Ms074mXfP31auJN6d2R25i3XQ/mMl0cwzN8eD2V\nGOpoTGvUaYDGFipYyWmEfGW86bf6LGUV+l8gPtcrObidyxfQPJ/BsdXH1g+cjf7dNu3cMI+KQ+tt\nI9g37G58x4qlqn/a6hPIa35BpLZL3dYmwtsxMnIlqZRElwYA5CA9arx5OZyNNBtrNtppGW4xWLGX\nIj2NpQXU5C59yyVR5VXxIQa7RvZ6OFwMjvNto5X03jmd480UVxsGNlvefC4sb32gk16YtnSup8sv\nSEwodA+rrIaoZSd1yHwC5QTqlTerlKbW1Ms6GPMO04OpTHVKGqsNbBxKqD6V9+umjaLTqUovLJ/+\nWZ4UsL5UfRrqa6i8JJCDrT5hbRUktN4ZovXPorrSRP9MVR+XCG2Xsq2NpGjHSPAkQvTolb1wuwkA\nkBE9arzZOLORdg14Wh63GKyk58ReVHBQds95hzAa7a2J5VQjwiOTcXlQ40HXvPxtzFudssFL5u6S\nqHMfUVs6N8HGhAdH9UBV0ipBTxC5zGIqKW+kVl3h1rQRdRoKl1dD9Q0NVF9TTjZbZyRKW/WUrvWy\nfc9UdKM+WcXQjpEQhnv4Uipo2hBYAQEA5BI9fs9bN+CRDbcOP3DGDwS5hoG9PWEok1Y+gx5vEDGI\nV0o3hA1OE1VNbaGdblx3cmDLOxReMm+kcm2pm5c1fUvnJlwvVCCNP3/ImyX890D5AZlk3PKSZCPl\nIuMn9ODlzZjK5M8rKjUPjY3OVCpw7lEkMKUN02kaFM+vopayMmqpmp9cL1t90mkrS729dhf4wnVs\n3nwI1vqkyivdtg5gbUeewESZWMl4MNwAxIFeeWCNjfXtt98uj7QMt0txtXP/Ty4DOvc0W8qcJUt5\nyAeNRDjfzyxSYbyMqpJLxMAoTqo0RVRXutIZoMTkYIHwlHj5deaKfEveIZiWut2JhG2k5jILE8uu\nc1sLlTfo3BvVy69s8Ne3iO8xh/72ya8HL29rma5q3DL5nntg8Laltek0XXjSMnWqfGYgGUt9ODxK\nW1lln0crZZ8K5qvBab2+kcasxFQfPS/1wFoy6ba1n5TtqCEfNJS3Ghzd8K11ZwLTqOWRZr0BAL1G\n/33DGr+ko76EOtMY/EAfwW2lP9cQd/pbfQAAOUe/erd5Q+Vw4ueRHMqptjtP24Jeg9utvqQbL1PJ\nMfpbfQAAuUePGW8AAAAA9Ay9cs8bAAAAANkDxhsAAACIGTDeAAAAQMyA8QYAAABiBox3rtGxnIqL\nl4f/tlwn3fhB3PTdzSdb5Ioc/ZH+plv0WTCAiaXxLlYvkHCOYlqOqyYiHbS8WOgs1wYaDH7xJ6kN\nua+pa5PPaddssX7B8m/itXO9tpd8QKbIr/btK3kzobvXFa7LnCaenveUxYn3Sndnr++BRscj5O45\n/giuSJBN8i4hcSUm+pXsa6V0SZ7a5MR9t3xnLU3c4bx6sGN5MckXwbnXsjhqSW3E0hvo4wi/gjmF\noepzeQHQiP+yed54mqg+Snwzat0r5w0XEjNmOWH2xVUTADnbrKRK9lBlPOWt6mnCzjMmGWS65bTc\nuIezFr9oEW1VwcZ8guF6/BR0PKL2HJ+4lerCrLevXF0vanCT590JE9ff+SwHNzedaSA05cvp54g6\nbF0kX9NZfNsOGfpIKj0Z9ermqZDnEm3l5WVKY5RN4AsXB9fLkN5Xd59s4X0lpc4CJMVXsnjpfN8D\nff4RGWjWrYaxLsHwJFnz6JJSSvSrdtGOpZeoN8xNpPHeq+aKqVq+vaaDuDsubvK/SMnbmc6nd0t7\nRLlWosKvNN66g3hPdm6jhF5Yh5xfCnkFJr3a+4XWf+T3FGNKGMa6B64rGWgYA60Y0vvK0doE9Anx\nN968Z/KUCdpe3zvoOndmzF75HB5k+GIw7ZO9iCa6eycvbk7snby1mSasEuFyD+o5RO7nJWrACj1v\nk4HTLaId+p7MXvyEHJ1Ni2kKx7XmY4ufCmfwKb3E2XN8a90jjkxJWPTCkyQ5uImcREYTy4mcbavb\naQcJ/YsLe86iiYm9vSc6cRNY8hXD+zWrRB2UF9Qwf0KInlLp1fBGPbet3LzK1KDjS2OTLUTXgTLz\nrmlw4shyJtIid3eRsL6SUmcB0opv6POXiGCjbv0Y6xKh7LzxE2mr8qp5O9SJ0mI7u6zJd8jr1oI9\n8626UddJtz1C+kZEOpYvUeOI6I/XCb349mS/jq6hMHkFFr3a+0Wgz6Yac6zY6h64rq4hwxiosjAS\nTN9uaRPQV8TTeIuO7240MXzJBGoSPVNeUx1t1Ozb45lnjmKQkUt4i/2bh3Bc0TG9vZOF2zDF3Tt5\nCi/3ib/5E0Tn1T7zOSbsvE0GPqeV54uvh7tY62KJnwpvGVN8ll6GZencqhcehJupTaRp3zGRSoSR\nbeYBjuNPHE95cgWE5XWMY9Le3tZ8Ddj0FEWvQdz2YbjeIpc2TqSnsckWCPcRDNe9En5Hb3ObM+iG\n9ZVUOguSTnxTn2d0uV05gpjqEqVs1q9s0w5qa05sh1pcrQxGSb2Tpzvoe5PuAOm2R1jfCEMbR+Se\n7O444tWDbbe2J7tNXsamV2u/CNQjrJ+EEbXutv4QFVubOF9BHxDve9488w52VPecd6QYEHuCbMmQ\nxbqwt+wugTl7jqdYOjcgxhLa0d5A9c1iEON7nM3i4m3fQRPl4Fachb29U9DbbSvqFumWBA/Qvj3D\nNQ89lHR11gs6ttYlStlqgtcgDMVEw1amxdUifa1jGOVKThafvcikb+hpXMMtMezJnom8GfeLNOnt\n6wLkBPFeNs+7hhp8e33zBbYoeY9n+TBNIDwQVxq3NPZOtmKTwUZgUJBy8AdrXSzxGTnLNw2qvGS+\nNWnPcePSeYheeLZNS5ZQs7yX6dzjrK8nmiD3jF5OlfK+Gg/yTbR4iuOle4TkK0nlKdn0kQ7yFovw\naoLuk022sBWKIK63JPC1SRhWnTn3PH1PZTOm+Kw0TXde2aY+HxVTXVK1r6K4ZCItKlukJnQC7pO+\n5XL24NiDLab5i4kWBR42bagU323tIcPTuFYkFl2moFgI11xWRs2L3T3ZQ+RVn41k0i+MWOqR6rpw\n+4atP3D7hE0CvfSWNnG+gj4g/ve8ea9vvv8iH9QQA4uY3TbrezzLB2uc+zd6uLNPdiKsiO/nZWUb\nKJsMNkR8vhem9lCes2NiwtMx5mOLH4Jpycw1TEkWM0Qv4gLm0Yfvm7tfa4QXLr/yl0X63t6r6Bo1\naDmE5XsNXafui7oPrCVj00cKxIDj3WLhW34+D8vFJptf13JJ0kngh+WfmCgnUpswVp21046tUzw9\ne5jiF19Dq2T/D5Zt6PPqgbVQbHVJ2b4KeWsisWQujUZzmSfDcPZEVzltwPeDnWtXnRNHGbFBiNYe\nqa8VxqLLVLDcU/zp7PJayLRfGLHVI6Tu+nW1nAxjoMzAji99vqVNQF+BXcVA/4W9Cn72x2iwM6C3\n9ojvrXIGApnqktPpz9P0NegTIED8PW8AehDem9vzaNhz74XBs6OtOfGQFOgWmepSPqh2XY4YbgH6\nBAgCzxsAAACIGfC8AQAAgJgB450L8L1ZfsjE/auC06I7afszuaQXtJEZ6AU6AGkzMIx3T18Yev65\nfBF2R7aUaZ2fskR6AjznaPC9NjKrm030dn/oi/7HZer6i/L7816RM912FfF1mQL1SvfnZinpi7ay\nkUuygEjA8842eddQQ648odqbyJ+jxXTTk4Z67bWRTbS4eUn678bOFfqq/+kvComwyUevkEa7Ou8g\n55cXafALiLz0tTRx0Zz49gvQ74il8Q572b93bXnfhUcY5QX7Mn4am0jYNgCorNTk8M/8OR9zHkGc\nshOOAudjiKvXQ/8Nsq9+FjmT9KDnH5TbkDYAv7QhadMTqVPzZix2PSTrzC+n3l7mvH3xNb1Yyyyu\n1t7zzL+nTX6HtS2tL1zvf5KA3tLddEVH1jfCJivqu3MLJoP+HMwval/Uke8Q4Jd72NJmqpcIba8T\noV1d5DvImwJvQPOlz6cJph9pZyxfFvuGILkf2tvNGDfK2CDr1Y0NVEBWiaXxtr7s30gaL9hPsTmA\nudxA/ryxhoQ7dvJGANFkF3maNkfwDTziYtTqkRh4ODzKRgWsB1M8k9zBtMERMGTTEzEgRN+wwVS2\nv57+9jLlbdNLKt27A1E9lRheL2lMKwaz8M06DH3DKnOEjTUibbKikVF/5nR6flH6op+Um3zkpaOX\ndNreRHi7RkbfG8CjO/JlsW8Y+6FF92SJG2lsEGS8gQrINvFcNtdnhfrL/qMQ9oJ9fUMA/TOfY9Ip\n17YRQNQ8bJsjuATq4RF5owJLvEw2MNAHtuArRXUZU+nSVHZoexnytumFCdW9GMAaeLDid3cbvBtT\n2rzx6W0swthkjtJm2qs2nTeZqdej2uqbaX8O5peqLzLC8LDXxnlF2uQjSIS2TNn2RlK0ayTYgCbe\nDOeRFfk0bDpI1Tds/dCk+yh9NqzMVH0K9BqxNN698rL/IDzQdbfctPIwbI4QFTEI8AxaliEPi1GJ\nGi8F8j3H3uAdYdOTbOgyXSKXyXrfSmpnSwdr2uIIm3VEJEttEZls90Vdft89927046xiaNdICMM9\nfAlNaGoIXW3oUVL2DVs/NOk+Yp/t7f4I0iaenrfmgfhe9q/NSJM2AXDP8cxTGBp3hTCtF+zbymWS\nZsOWjQDC8giQvDmChqxHups0CCx68Ajb0CJYR0kam57omPRgKjvd9rLphbHovmN5peaR8UA3xdls\nRceUVhjAKJt1mPWmkarNTPAyKMtk3aMyAtnqiymwpk1TLynbPoC1XXniEmWiJeOFGO5uyifJRt8I\n6YdJug/rs6nGhihE1S3oNrE03uaNE2wbNAiy8YJ9zsO2yYCev7exhnMfybcRQHtIHiYMmyMkEBcf\n36dMZ5OGED0k4hnk5ivRl9a92gWmpW536dw2Kll1aSrbX5/U7WXRS0j7ibHKi88rB1QbGKxtaZ2E\nKp1lsw5db93ddEUMqK4M9k1WIhKiDyOhfTEFprQZ6CXdzTBStquGfIhLLg87OuE+70xotmp5BPp+\nN+XLWt8I64dB3dvi6rJYxwaQS+D1qLlMrm2OAPoO9miyuclKunSnL6If9x3Qfb8lnsvmA4Rc2xwB\nDFy60xfRj/sO6L7/As8bAAAAiBnwvAEAAICYAeMNAAAAxAwYbwAAACBmwHgDAAAAMQPGGwAAAIgZ\nMN4AAABAzIDxBgAAAGIGjDcAAAAQM3rsJS0zZsxQn6KzadMm9QkAAAAANnrUeD/11FPqW2rOOecc\nGG8AAAAgAvFbNu9YQTNnrujZHW56o4ww+rr8qMRFzt4AugAA9CJ9aryff/55mj17Nq1fv16FBOAd\ncdwt6fiQe1P2EBh8QU+j9zH0NwBAN+gz482Gu6KigvLz8+n8889XoQk6Vsx09izu7KROddRSPTZ5\nB/2DvHm0YcM87PYEAMiIPjHeuuFeunQpDRs2TJ1JsL6OqKqpmvSt7Yur/d+l9+J55jNphXJjpOEP\nhitPZ0Ulh1UGJgEdtGLuQmpsXCg34p95W6sMXS/jOofn9FvK9JDlVFLlzOS0RrkkDVTphYv4+kKE\nXH1w4lrT+2QSh+7dmeL7CJQtZE1Xzsz1pHme7nf516w/f56qDVU6p10D8X0k19OeX6L8ygbRN7zP\nyee9cB1fvm7dA32sstKpb1L8dOsFABiI9Kjx5uVwXhZnY+0SxXAzdY2FNC7ULRGDcVErLXA986ZS\nqpvrDIZ58zZ43npnbSEtvE2NemLgbC3h8MAkQPg/81ZW0dSpVdQk0myYX6DF5TzKqWYp520v00dj\nCxWs1NKWOQOyWS42DnKJwTtXPUvm4gzg8tQGmid0YU7PMi2kQjd9k6iHTBxFVkPZQjFpydkdPdkw\n6s9fz6aqFipzrZlRBh1TPcPyU+XLsucSuZ/dfC3t62Cru6GPefEzrRcAYKDSo8abl8PZSLOxZqMd\n1XBLphZQvvpopGMntVANlbkeixgAGxtbqV2e0zyZshqilp3OoCcGzvl+q21Hj5tf4BjEsDJ1ppbS\nLHfiUVxC5SLVThbAJFfHeqojg1xi4C6SRkCbaBjTC5lM9Yoiq63sdOTsjp5smPTX4K9n3qxSmlqj\nbqOYZNAxyR7Qmz8/VT7npX/mc4xJPrdy6dY9VI4U9QIADFh61HizcWYj7RrwyIZbUNhYR+tTuRli\ncGMvRnom8hCGjg1PUR2VNqkwzxPNEqYy1alQ2tOUS5RTq3thtnq1t1KjjGAgE1mzpb9M9dQfGMh1\nBwD0Cj1+z1s34FENNzO/imhhkb4cSdRQqX3PGycM/EJyV8R9aJ5Rx/o6u3ELkso7DCvTRkM91bA8\nvIxgkitvFpWSOc/8eRuolspopnvD2JSePT/TRCeKrLay05Qziah60vRtbSdXf8X+PGX88pJoRtEk\ne0DGtPLT0duXSVX3YB/LlhwAgAFFrzywxsb69ttvl0cUw83wfVd5/89dfhRHGemDWjFVC6+wpSxx\nXj6olTePFhQ6DwVx2NzWwmieI6crd5Y73QfWkrGUqc56iMHYLV8+Mc9PFVvlcu6F6nnqD6wVV9dS\n4cIimrl+liW9kInvSxep9LxM64anlNVQdntmcvqJULbQx0qtfX3tZNJfIM+ihYVUyzfoI2GQvaEb\n+Rnlcwmpu7GPdadeAICBCt6wlm142ZmfceqrnwHx0+n1JdQZVwPQ1/pLRa7LBwAYEPSo580GOeoB\nMqdB+zmR9AThuQEAQL+mxzxvAAAAAPQMvXLPGwAAAADZA8YbAAAAiBkw3gAAAEDMgPEGAAAAYgaM\nNwAAABAzYLxzjY7lVFy8PPnFLzbSjQ/SJ4qO+2M79Ead4qQ3ucOf85PMnN/hDeNCvyeWxrvY/U2z\nPIppOXpoOHwhQ2fdp78OiHq9eqqOfaW7rJXbQJVlzbRYvfM/K69S6G2991UbgB4hnp73lMWJjR94\ny8XAO9CBAeis++RdQw0N1/S/N6v113ox2apbRxs100Qa31NK6qk26M9tO8CJ/7J53nhxSWnw7NLo\nYYqZs+Z9ymUvX1xlzOTstJIqi914HbTc+xzhPGOSQaZbTsu1t6EZ4xctoq0q2JhPMFyPH5We0Jn7\nWcLp9HNufJMunHgdy4tVHHEYvAPjeZssmbRPED2Oq2Mlt1OFEHnl8mpyvklpArLy4croi5tWmxjq\no8ntxHXbinUjPnvnxfc5oq5bF8l3txfftkPGeiRVn/XpXtOFLV+Dwk1lGHWg8vT6jvye6np1dR3h\n+uNDr4NE6Fz2AW2rVz1OlDKS2i2gk8pKJw+O6pPHr1tT3va+InBlS2qDBqknv3yGvgNylvgbb97V\nacoEtfc3X2Q76Drdw5yjOm4xvzdUhYujuti5ICeqsKbFzYntN7c204RVIry2nGrK5hC5n5eoiyv0\nvE0GTreIdpSocF/8hBydTYtpCse15mOLnwbZ1pmY3V9XXkP17kDA+cudsWx5Czxd8Dauy2nOoomi\nKCde7cQd/p23jOctsjCZto+HP+8kHYfJy4OlVFsDXaO7O7Y0rqwcLuV1Buu8axqcMBk+kRbJbcds\nbZKiPjxZ2+qU1/FIHU0sJ9VW7bSD3H7A5NE1q0Rd1SpNw/wJkfqsT/dGAvn6FCMwlmHTgR5fbbWa\n6np1Sev60+HNYxLyh15zxjJM7WbQtSREt+nqyUewDYrpmutEHu5FK6/Z6/x9FuQ08TTeohN7uzot\nmUBN7rKQXNrSZsfiItjKg1bHI1RHi2m+fp+K44qO7IblXVJKU2rq5cBJU0rpEs4wf4Lo7NpnPseE\nnbfJwOe08nzx9XAXa10s8VPRwzorLkkMBA31zbSYI9ny5kh6HeRKAMdzDFdxdWD/a9P5EFkybh+X\nQN5J2ORlHUtDGpCfsaVx5WN4e1chXRuPyDwJcGUsqyFqbhOenaVNUtVHlFRS7uTbvmMilQhD0cxt\nxWknjnf6gQ1dD5Y+69N9JpjKYEw64PBg24S1t06EunQbYxmGdrMRpltT3oxNT6ng/qbybqivofKS\nbCkB9AbxvufNM+DgQOWe8w7DQNrTZEuGbNalp3VWPJ8WN/NA0ED1zZpBipS38GzkuRKql4OQY+AS\npDqfJt2ur0UekW+t1QtNow7tYjAuqqNS9XBUqKfHRKiPGOtpRzu3jfC08y6hUm6r9h00MVcHbDZI\n6eggU4QO0r7tlEt0S088qeMVM9EvasoJtjtexHvZnB/GqCXPm3GWBxdR0qoRD1YUCA/E5eXErXKp\nt5vYZLAh49fRI2qqLOXgD9a6WOIzcgaewrD1mM7y6JLSZqqvrKfm0kscb86WdxAhd6W82cYGrokW\nT1Hep4vpPIXJEkIUmcJ0zJjkUbOh/GsaqJbKku/rhqTxkLczxMSH17E1jzzRJ1K3iQ324GjJEtU2\n3FZE9fVEExJr5gmSPPcAYf1AS5ukt1T5BjHpINuw96m1dWTC6hnE1G4uQZ2E6dZGOnoKlFc8fzE1\nl5VR8+L5iTKijCOgz4n/Pe/iaue+kHzYQgyMYubZXMaejTrkwxrO/R49vLLBH7eI70dm5fcfNhls\niPh8n6rIiTtnx0Q1c7blY4ufBj2kMzYQzTVE13k3zmx5BxADlqiQilNEdaWr/PfejOfDZbETRSYR\nJ0zHJnk0I1hcXUsTxXmfAbelEQO1dzuDb4vy7Qx+hmBiIjxRfuo2kYdNx2JUL1WjPH+tEV64t0Li\nop5f4GV494G1ZCy6F2lXyX7lhPv0pucbnNiYsOog2/jbWt52UGeshNXTiKndONika4tubaSjJ1Mb\n8MRiyhSvX4D4gC1BAegr2MPh56vwU57cgX8pUF9CnVmZyMcArq/+DAyIDfH3vAEAoBs0aD+/kqsf\nA8VwC+SDatfBcMcReN4AAABAzIDnDQAAAMQMGG8AAAAgZsB4AwAAADEDxhsAAACIGTDeAAAAQMyA\n8QYAAABiBow3AAAAEDNgvAEAAICYAeMNAAAAxAwYbwAAACBmwHgDAAAAMQPGGwAAAIgZMN4AAABA\nzIDxBgAAAGIGjDcAAAAQM2C8AQAAgJgB4w0AAADEDBhvAAAAIGbAeAMAAAAxA8YbAAAAiBkw3gAA\nAEDMgPEGAAAAYgaMNwAAABAzYLwBAACAmAHjDQAAAMQMGG8AAAAgZsB4AwAAADEDxhsAAACIGTDe\nAAAAQMyA8QYAAABiBow3AAAAEDNgvAEAAICYAeMNAAAAxAwYbwAAACBmwHgDAAAAMQPGGwAAAIgZ\nMN4AAABAzIDxBgAAAGIGjDcAAAAQM2C8AQAAgJgB4w0AAADEDBhvAAAAIGbAeAMAAAAxA8YbAAAA\niBkw3gAAAEDMgPEGAAAAYgaMNwAAABAzYLwBAACAmAHjDQAAAMQMGG8AAAAgZsB4AwAAADEDxhsA\nAACIGTDeAAAAQMyA8QYAAABiBow3AAAAEDNgvAEAAICYAeMNAAAAxAwYbwAAACBmwHgDAAAAMQPG\nGwAAAIgZMN4AAABAzIDxBgAAAGIGjDcAAAAQM2C8AQAAgJgB4w0AAADEDBhvAAAAIGbAeAMAAAAx\nA8YbAAAAiBkw3gAAAEDMgPEGAAAAYgaMNwAAABAzYLwBAACAmAHjDQAAAMQMGG8AAAAgZsB4AwAA\nADEDxhsAAACIGTDeAAAAQMyA8QYAAABiBow3AAAAEDNgvAEAAICYAeMNAAAAxAwYbwAAACBmwHgD\nAAAAMSPWxnvNmjXqEwAAADBwiGS82UjmqqE84YQT1Kf0cOuECQAAAIC4kZbnnamhzEUuv/xy+feq\nq67qV/UCAADQ/xnU2dnZpT4bYc+UDR0buDvvvNMzekGP1Q1n9HOpwlOFMbY8GDa++/fvt5YZBqcx\npWdSyQ0AAAD0FZGMt27ggp9ddMPOuN6sG87x+a/u5brnTHFNeQfz4HBXHiaYTyqi1Mckt1seAAAA\n0Bd0+4E1NmRB48kGj40fH4wbzn/d+HoaUx6MKTwY38VWZrqkKjNYLgAAANDbhHrebBBNuB6p7vW6\n312P1TV8/N0N1+MzYXmkG24qUy/LhF5+VFmiwGkBAACATIhkc9h4246ampquIG6Y+zcYN2q4fi5V\n3EzD3c9uePAIxnM/69+D4fr5YJh7AAAAAN3BZFv0I6XnHZwB2DxSPW7Q8zSFs6fMBMPYe+5u3owe\nruflEiw3GE//HozL2PIFAAAAepqUD6y593t13LDgOf07f9YxhacK607eDIeHGdlguVHL1MNM+QIA\nAAA9SUrjHWfYcLvePIwsAACA/kK/Nt4AAABAfwQbkwAAAAAxA8YbAAAAiBkw3gAAAEDMgPEGAAAA\nYgaMNwAAABAzYLwBAACAmAHjDQAAAMQMGG8AAAAgZuAlLQD0czZt2qQ+ARszZsyQf6Gr1Li6Sgfo\nNTXp6hXGG4B+Dg+c55xzjvoGgjz11FM+4w1d2dF1lQ7QaziZ6BXL5gAAAEDMgPEGAAAAYgaMNwAA\nABAzYLwBAACAmAHjDQDIXXbfQVdccQftVl+BBVdP0FfPkWO6hfEGAPQMPNiNHk2jtWPhY+rcQMKn\nh4WUtgpgkM08ttDXt0YPsM4F4w0AyAKP0UKTgZl8PT3x3HP0HB9PXE+tPxqARmjM1fSgqPtkqYsq\nulAFg8zZfccVNLqcqMbtW+KooQ3pT4xiDIw3AKAb7KY7rmDPZwPNfPBqGqNCjexqo20FY2UcOfh6\nXtMVdIdn0cUkQPOmFj6qghnpaelxY4rypO9YqNVTWR2fXuRkSOj3KzfQtm030AUi7ApRebvuBgq7\n6dGHia5/wj8RurDK+W7UT4jOk/och/tWS3JTxzDeAICMeEwOhF8hupU9H4tHqYyOHATLW+n6OU6s\nMVc/6HlMz9UU0A2r5IgpJgLSnfLOVV0kozuDqTz1IF0dOkOICUIvbTPd+v8b3cMrEqKOX7mhwPMm\nawraaJeY6lx9q+u1P0cPisqbdTeA2P0oPbytgMZa+oFVPyadm/rchcKYX9BGX3LzeOIyevgrubdi\nBOMNAEgTx1PZIAfCFMbUt2yuDYK6Z1N+D1HrLmG8xKBM15Oy7wl4AiAH03605Cz04tVz7HiazH/H\njKUCuofK1X1x15NMwqQ7dWrAMHk8jVUfk7Dpx6RzU5/bvYtaZTuoPC7glQ+eSOUWMN4AgDS5kKqE\nMZ65gQe3NJYU2TjxIMiD6wUP02VPuEZdeJYqihEx6NZc30rl/f6BJEevzz03kzZIw2F4uC1d3fVH\nZD96mB419bts6UefdMoj9yaOMN4AgIy4sIoHtVuJvmIxNEEe20D3uB7T5MvoIuWx7370YdrGH8Zc\nRJfRDWRaBR579YNUQ+Xynm+/RRiehbJ+bMSfoOsnt4qJjnOKdM/PpLsBxYU053qiGy7w97nHFqrv\n6ejH1Ofk5MDcD3MJGG8AQDcYQ1c/yEZceIump81997yJavihtjFX05cKEuFfaStQ3pFzf7e1XMUX\nh/7A2oVVNVRwwwXxM+DSG3QfOguZ5AijISySqvsF9PBltzq3JFhf/+Ys417x6EUW3Q0s+L72E7wa\no/TARznNpAutfcuGoc89JiZP/MsILcx5eDC3wK5iAPRzsKNTONhVLDrYVaxnwK5iAAAAwAAAxhsA\nAACIGTDeAAAAQMyA8QYAAABiBh5YA6Cfww8LgXD0B9ZAOJk+sAbCSVevMN4AAABAzMCyOQAAABAz\nYLwBAACAmAHjDQAAAMQMGG8AAAAgZsB4AwAAADEDxhsAAACIGTDeAAAAQMyA8QYAAABiBow3AAAA\nEDNgvAEAAIBYQfT/AVKYFiiR05GlAAAAAElFTkSuQmCC\n"
+    },
+    "figures/installingAnaconda_windows_installer_06_installing.png": {
+     "image/png": 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5fxfZL0bZZFrAv/vj3fLpr54vR53+GSn59Gg5p/xb9qJC7wzo71HrZ9dTflBh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\nDgBAAhHgAAAkEAEOAEDiiPx/u5XI/GDPq2kAAAAASUVORK5CYII=\n"
+    },
+    "figures/installingAnaconda_windows_installer_07_installing2.png": {
+     "image/png": 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8GOVxZQF/6kvX0SvfeCE98xWvpmWvbKXXtb9VLip4ZoB/R833rte/vVOeMOef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+    },
+    "figures/installingAnaconda_windows_installer_08_installing_complete.png": {
+     "image/png": 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VteohbFMmfkB30bdFG6Rlnqym5kv5gRyhK3/RQGVlDZQU4U8s8vlAUPuzNPMX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\n"
+    },
+    "figures/installingAnaconda_windows_installer_09_cloud.png": {
+     "image/png": 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Q2yG6acsC+vbjX6Ef/mMm/f7lW2jr3i0k/qRkfwCrxtrlsv6zZEaZXs8qGCftujqtbtSW\nkW2XUHGRGFNkoEawIhqmZ1HLaMHi1do9zfptTpFZ2039RCgSgW+RDAwlNKNsGPdQSEyzRo63mhbF\n5+e0LIK8LUvMW68jb1ytX7jYBgiRSRdF5XpXrtqYnIEXDhNjCHXLqZYntLpGC2Ky7lg1XiHNSQqw\nRnATWW5sqX2ds4rj/DMwpVxbJuPiwNj/yxbQYm6rYFzoyWX2ui7iQklOQ+wvV/tZZ21TABBwPXv0\nkBm0ayJwxxqbXo3d8uK1sY1vr4/duOXXsbtfXRprOvRh7PrNV8Um1JwRK3no87FxK0fEvrm2LLZy\n54OxDw/t1ccG0CTqN/UOungdtqVeMql+dVVloo7Z9NHqXhtiVXq9dLx7palVtV5nrH1KZL2p7C5/\nK+bHdalJ42mf1MvC07H0j9fxJkteb/NHX6YO89G2Xcrx4jquo1HXH6/q1iWtu0Exfye200liU7du\n3da226vjuiQY/cwfu/1szNv4rdPr5dXLDBAsRcOGxSL8RRy4rvBrz94++Ca9+uHLdFK/wTTn6f+h\nvj2OoarSO2hbUz0teP4XIjP/RA4rchDqkdeDCvsPp5+cdiWdeuxpsjsApIOflqZ943r7zpeF+XNp\nxdRlJIJmZkXxvmikxbJdQQlVNWzMWjsCAD8NGz6cXAXxw+2HREjOo99snkdHif8uLv4B9enRl17/\naDftaX6Lhh9TTD995lL68PCHdKj1Y2pub9bH1IL58UcNoF+NuY5GHnem3hUAgON4KS3YyvXrHov5\n/SbbFkRJRPAAXFAAuFM0rMhdEP9Twx/o7AHn0s0vXkP1e/9N90+spbq31tN5gybRcb1PEMF7L33U\nvI/2tTTR+5+8S0+9+ThteHudCOYtYmxt8if2OZkWjr2VCvp5q20yFo/rF+1wf/7w21wyxdNRzcdO\nS0uLnG9+fr7exVlra6v8twfXYyj4uT4AAJC7CosKUwfxV5teplv+fS3NG/lrOnT4EPU+ojed1HdI\nyoC35d3n6Ip/Ramp+UP5mzPyU/oV0rIv3k9H9ThadnNj2f0P0o7//Ieu//lcvUuyOx5YTm++8y79\n8vIf2AY+frbsj359LR1ubqafVF5Mw045Re+T7Pf33EfNLa0U/Z+Zehd7+w8cpA3PPku33FFN23bu\nEvOM0H9NuoB++N1vU+HgwR0C9CeHDtGL9a/STX+4i57d8m85/MTSEprzPxVUNGQwHXFEL31IzT1/\nWUnLVz9Ky2+roqOPOkrvmsDr8wexzi+8/AqVnT+evjLxAtrz3nu0+K57aG/TPn0oojyxb4ac9Fma\n/MVxVHTKEOp9tPM2b3htF82+4ip69J47HS8yAAAgGIYNG+bcOr0t1kZtLW00YdBEmWm/efh1+S9L\nlbGeccIYuu6s2+iEowfKAC7yS3p9/y567E33N7i8v/dDuuevNfTg31ZRw67detdk+/YfoJvvuIsW\n/HYJNYtAbcVB967lf6V7V/5NBNNtetdkHARvvuOPtHLNWjlPO9wav2bNOpoy8xL6xv/+mP75wou0\nd98++uDDD+nOB/9KY78ynX7ym+vozT3v6GMQvfTqNpr+gzk08Tvfo1VPbpDDvvv+B3T/3x6hc6bN\noG9d/mNqtKzXgU8+ofV1z9Lca2+gw4cP610T+CXwPK17V9bQk2I49u77e+k+sX73rnw4/rnnoRq6\nevHv6Nzp36ap36uk+2v+rj0s3wavGy/TM2Kd1j71tN4VAACCLC8/xfvEXz+wi3626Qf0+5dvog17\nHqPePXvT4GMK9L6pnXbcGRQ97ecy4POnpb2FHnvDfRB/4eV6eqVxB70vgt/aDf/Qu3bUKjLoG5fd\nSb//0/3xW9+8WL3+H/TuB3tp89Z6OU87jz1dRz/85a/j/U/+zCD6/te/RjMuKqNj+/WTAfLhdY/R\n7jfflP23bttO539zpgi0z1B7LCaz6s8PK6LPFQ4V2fcRYjnb6FGxThO+/t/0zvvvy3EMXMrBFy9z\nr7lBfrfq0E2/nuJtXDjkZDpr5Ok08vPFdPyxn5Ldn/v3Vrrsqt/Qnx56WP62avpoP616YoOc7opV\na8TFEFeDAABAkHGCrAzirbFW2VDtc8d+nnrk9aRIe4TOPuFc6tOzrz6EO+M/M5FKBo7Xit/Ffy/t\nfYGaDu/V+zq788G/0KFDhygmAvMDf6u1DWgGDqLX3na7zLqdhrNqbmmhh0WG3dbaKi8AFv5uaYeM\n9WORHV+x6BYR7PbRpz/Vn5Yt/DW9+sSjtPjqX9Efb1xI9Y/V0s8uvYRuvPLnVDJ6lCxCv0YsC4/X\nr29f+skl36PX/vE4bfrbX2hz7Up6RQz//W98nY468kiZzXMGz8MaePl5Ge5a8df4dNw4olcvuuJ/\nZ9MTD9xDT//1Adpdt56W/76KCk46US4Tl1a8/vbb+tAJjz29UV50sPXPPEtv7NkjvwMAQHC1tLao\ng3hLWzP9vv4muvzzP6d5p/2GBvX+rN7Hu68WfJPyIvmySP1w6yF6as/jeh+1f734ksiQN1AkL09+\nXnzlVXro0bV6X3sHRbCbe+319Lt77tO7pMZF3k/+81lOY2Um++yWF+nvjz+p99Xcfu+f6eXtDWKY\nPBGsv0/f+MpFeh/NMSJQXxW9jP7f1C/J37veeJMeXf+U/P6D736L5v/oMurTp7f8zQYcfzzd9Muf\n0//O/I6su97wzCbb6gIO5jf/4S5afNfdehfvpkwYT3+4boFsL/DWu+/STxdcp/fRcGO7/1t4o0zm\nuYEeF/ffdve9Wk8AAAg0ZRDn+vB8EXj3HHyTqCfR7gM79T7eHX/kAPr0kZ+W3zkbr29SP1iTcd32\ntb+7XQSYNhkYv/HlMmoTWfIVN9ws67jtHHlEL5p63ng5zg1LltHKR9fpfdQ4gF1xY5W4mmml8skT\n6csXni/b0v/h/gfj2S8H0vtq/ia/HyMC8SXfmJ6y5XjtE+tlQ7r8/Dz67tem2Q7PAfNrUybTp/od\nI7LxJtry8it6H83QwSfTf02+UJYUcAb9OxFY0y3mPnvUGXThuSViy8fEsm2gpo8+0vsQ3fPQw/Te\nBx/QgBOOo3urFsllvWv5X+g/b72lDwEAAEHESaAyGuVRPl100jS6+aVraMe+7TRtyDf1Pt4dkX8E\nHZmvt7QWKd/eQ8l1wFbPb32Znn3hRepz9NH0vRlfk63K+4ts9/W391Dtk+v1oZL16tmLbrzy/+jM\n00+jD5r20eXzF1DNmsf0vvae2vQc/ePZf1Gf3kfTr388R2TYZbLumrP+F1/RGsHxRcPb774nv3/h\n1M+Ji4Uj5Hcnr+7YKbP6EwcNknXnKlx/LVugiyuHxt3JmXgPEeRvu/qXNFNcBLD5VbfRn/9eK7+n\nY9yY0XI+/MB8o/EdB/MVj6ySdfYzyqbKi5iRnz9VXiz8/p775TChw/f72r4O1EedMY9s66x1yNZ8\n/JpuLuxL6LY4ziiDOD9t7am3nqA3P36d6vasp3ayb9nsTkwGCv0r9cpLvq3KatWTT9G+/fvptFOH\n02nDh9GQEz9L544dI/s9vPYxOmTTapsNPP54qr1rKZ0ugu3epiZ5a9nG5zbrfZNxFn7/w4/ITPu8\nc86mkwYNpJLRI+kUMS++VesvtVoDPL4ljDcUO3zIfr5W+SKb5bVta22T01fhUgPuz0PwOFZ8wXDV\nj/6XLhxXQp8c+oTmXH2N1lAujcZ7cl7iX16XHvnaLWRbtzXIW9WO6dOHppw3XvbjYM6lBI9v/GfX\n1Y0bzx03PrM8vbLDP+YTfNone34SmFiHMAcKr+vud2AMyvEAEDB8TleXC4u4NfL4M+XtZSWDJtDa\nNx7Re3j3cevHdKBVK8LlmX6290nyux0uSl+hB9DJ55ZSvliOZhG0Lyw9R467/plNtGP3f2R/O0eJ\nzPbOG66hwsEn07sffEA/W3iD3ifZ62+9TU89u0neE31Bydn0yScfUy8u4v7SJHGiINmQ7g2R+ffp\n3ZsKTj5Jnjz+/eo22v1m6mJmvogQ0ZnefOcdef+1Sn1Do8z0edrcat3OCZ/+NP3uN1eJi5gz5bb5\ndnQuvSzG82rNU1rr/t5HHU0nfWag/H7ngyvoowMH6HNDC2j4kMG0b98+Onvk6fSpY/rK5X560/Ny\nuM4kX1oyVVzI8cWN/llFNd7evOUXfo3oxjmJl7Skg1/kQZXiP/0FImHkx3ZIU6COB4AAUgbx9lgb\nrXnz7zSsfzGVnjBBZOWP0yet7lpJW21veoX2HW6S3zlAjjruLPndzm333CcDLFtw2xIaPO58+fnp\ntdfzdQXt+2i/fNCKk1OLCum+W2+SRdWvvf6Gbea6vPZRGaS5FfhcEeiN+SxcslT0jcii5htuv0MO\ne/HXvyb/5Xru+Tcvlk9qs+JuRqv2qeePp74i+PMJ5/b7/iyzfiueFt/LzUF0wHHH0Rc+N1zv09GJ\ngwbSHddfI29R49b63PhMTNoVXoaatY/Rphdfkr8rZnxNbhe+de8vq9bIC4jNL79Mwy/4klz/C79T\nIasjuJ3Ab6v/lFbWn4na5fzky+RHcE5Zqv/mDE8sr5aRmV6pae6uv9VLShq+lDq87tqcMcphjWly\n9iy+x/uL3zPFdOuiVCSmVbpIu82w1vQua1VyyG9soxlzqXwEv9NaXwB9uottxo+/eU1+zMu8mmbF\nu+vDJ62fvuwO004a3rSd1PPUGdvBadpxHrZV0vLbzFdMy/F4MCRNJ3k7xCdp/m0e3ny8AIQMn5/V\nxemRnjSs36l0Ut+TqXrbEjp3wPn04WHnumw7h0TgX7FTa+0s/mToU0ccSyM/rRWNW3Hd803L7pQZ\nN99+xbdM9erZU374e++jj5J/eH9dvSZ+S5TKiOHDZCD/zIAT9C4Je957n5aK4ComJuZzRIf58Lx5\nPn977HHaLjLSb//Xl2nsGV+Qy/X3x9fLB7FwvTkHbn4gy1PP/ov+52dXyMZ4Bw5+LIv1vzLpAjkv\nvjf7ihtvkcvLQZ4D+jObt1B0/jV0r37f9pTzviizfSefHTiAqq76hVwfXjYVDtq8Y3le777/Pi35\n0wP084U3ypKBU0W2/4sfzpLLcNXNt4rh2mTRORev50Xy4h/eBjwPXse/P/aEPuXOsbxO9S5n7bWb\nI1Zp2VhD1VaaKqNBcveY/l5yrXs9XcndZPcZtHym6aTO+DWbdfXUIL5ysB1RSVQjI0AD1ZP5dZSF\nNOduMV39/ecb5xbzy62pvlyf9qpKWrbAMm1JC0IzygppSnkl1S2vTQyjGL9wzkatm+w+gqKLeIH4\nokKmo/F+S6eotodgO23VdlLNUyHlervdVi72j3wdaap3eztsB1vq7QAQNnyed6wTn17wHdorAve/\n3v8n/fm1u2nX/p30SoqW5VbLXvktNTZtkwFc/MnQOQPGU698+8ZhKx9dK+vCj/tUf9rw4J+o/rFV\nHT7FIhvle+P4wS78R+hk4rgS2WCNb1Ez++0f/yQfsNL/mL70ss081vzpTjr5s5+hDz5sojUb/kG9\nRFC77v9+Kh+e8rHIhO/48wq68NsV9Lnzv0TFF06laZU/kBcWXELA91lzXfaCn0Rly3O+7e226nvp\nwm9ViGGn0KkXTKGvXHKpzMJbxA4YITLw63/+U1cN5vge9No//kE+XMYukHNbgZ9ecwOdev4UuWwj\np06jn19/o7w3nEsGbvjFXHnf+pb6V6lOthWI0ML/+wm98viqDp/pZVPk9uXHxRot9bmEZNuOHfJ7\n1qje5czvehaBYa6eghWWzaCSZTUiW07uHiffDb2MportxNtKZlx6wE6YQuWVW2m7iBwN9SOoXASc\nrRzFedwRw5yLj83zLCq2DwSyKH0GiRguZlVOlcY7uZlqfHOWOHWZ9r5tOR3LOqq2B/+wm7ZqOzG7\neeq9OnCz3laq5Um5f4RU7/Z22g52nLYDQMhwbFLXiQtF/T5HB5sP0lnHjaNhfU+l5rbDtKLxXvrw\nUOqHtXAAqHntQard/VeOFTKA9+7ZhyadJDIKG5zBPvLEejEe0QWlJVR4yhA67thjO3z+35TJ4o8+\njzb+63na9fobclx5ErBJTrn7N//rIrp27o9kEGMc0DjDZt8u/4osyrbOg4u2zz1zjLyt7cG/r6KD\nH38sn4J2/6030/klZ8vb2T7++BOZ0b8tPocON9NJnxkkW9F/caz2prYBxx9HL6x6WGRhX5LPLf/o\n4EF64+135HPeeV0/dcwx9L3pX6VH7rxd1rubaetjn20XnTJYPlTm6KOO1Lvw5hXD6sNzgz5ukMbz\n4Sex8bwnjx9HDy27TW5XxrfANYmLJW4wyM9W5/vWrZ//nvYVeXcAtz9Y/89NcrzHn66jtU9tlK3v\ns2WEOdBlSpysORuUGZf8dHxTlogpVN+wmmq2imBRWEYztooA0FBPI8ozP8tzdm8UK0ciU0XIMhWp\n2+FgWiTCfoO+vJ2RJXbFPA2p9o8sKQlxWwKALGt3ysQNk0/8Mh1sP0CfPvIEOrnvKTTw6M/QQ7se\noLq3tcd02tl76AP61XM/pVtfuoEOtByQw3HgnTq4nEYeN1YfKlnPnj3kS0TuWrSQfjXnh7JI187F\nM75Gd998A/0qehn1E4Hwa1Mn0X2Lb6I/3nSd7TgcDPmhKlwUzcH56COPol//ZI6cRvRi+5ed9OzZ\nUz6gpfrG6+hHl3yPeuovBCkdM4pW/H4xPXb/3XTLr+bRD/77m/RT0f/B26po/YP30rwfzKJj+vaR\nw7LjP30sLVu4gDb+9QFadu2v6TKxHD+6+Lt0903XU93KB6nqV7+Qw5iVnT+B7hfrc/Mv5ynXZ7q4\nMPijWLYLSs+R3TgY/+G638jxjM8D4oLjb3cuobqH/kwP/PYWmcUbuKX/4vlX0G2//pW8H93OOaNH\nimX/Df3mp1E65STtQT/HfqqfrCs/eZD6trlMza0iihaZ6ruF1bPEb3lCj5JR0isDZGU5TbGc6GV3\n/mIZXoUzN1qwgLbOKBOZdyHxz5oaomK79M8uU1TiovQ6qjQVgXNRclKRup0SPXMXEusiLi7Isi6q\n7aH97Ei1nZjdPDOValu52j9T1MeD/t1xO5iWIbEtHbYDQNhw8iZOLik9tOOB2MRHxsY27lkfK135\n+VjJQ8WxL9Z8IXbxkzNi975yR2zDG4/Hnn7zydjqXQ/Hrn3ul7Gy2nFymNKH9GFXfiH2i2fmxJpb\nD+tTBFBrqCrhq8PER0RCvUdMZIl698qY3jUmgmN82JLKylhJSVVMZHiW4cXH6J5kVaySSmJVRg+e\nlnl80zgiBnecB7MMJ9l1M+a1ytLPNKwxj1TrIjdJUjd9e1jna/6t2E7KeRqMaThN28LVtuLv+nzl\nRzEt2+NBOZ3EcWEeL2k5VMcLQMgUFhXGXL1P/HDbYap57c90/NED6DfPzaPmtmZZhCtyC5kZ5kd6\ncIGufMpbe4xbM8sCXon7nzvofPrJ6VeKbP54vSsAAABkYtjwYanfJ272/qF36drNv6Qt7z8nAzsH\nag7kZkb45u7HHXUCTRvydfrOsEtkQzkAAADwx9DCod6CONvX3ESb391ET+95kp5572n6SPyWyTcT\n8Ts/L5+G9ztVvrmsZMB4GtpvmHwGOwAAAPinYGiB9yButfuj1+idw2/Jd4X36/kpOqn3YOp3RH+9\nLwAAAGRD8eeLMw/iAAAA0Pk+d+rnUt9iBgAAAMHDT99EEAcAAAghvvsLQRwAACCMYjEEcQAAgDDi\nBm0I4gAAACGE4nQAAIAQQxAHAAAIofz8fARxAACAMMItZgAAACGGIA4AABBSCOIAAAAhlJeXhyAO\nAAAQRnm4xQwAACCc2vHENgAAgHBqb29HEAcAAAirSHV1Nd4nDgAAEDLX33AdRWKC/hsAAABCYtiw\nIoo0NTUhiAMAAITMmDGjUCcOAAAQRnh2OgAAQEjhVaQAAAAh1daGW8wAAABCC0EcAAAghPJ7oE4c\nAAAgnGLIxAEAAEKpra0NQRwAACCMmpubEcQBAADC6IgjjkAQBwAACKO8/DwEcQAAgDBCnTgAAEBI\n5echEwcAAAilltZWBHEAAIAwysOz0wEAAMIJbzEDAAAIqZj4IIgDAACEUKwdbzEDAAAIJWTiAAAA\nIdWOTBwAACCkYjEEcQAAgDBC63QAAICQiuA+cQAAgPBCEAcAAAihCJ6dDgAAEE5teHY6AABAOOUh\nEwcAAAgntE4HAAAIqVYUpwMAAIQTHrsKAAAQUhERxRHEAQAAQigm/kMQt9q5hCZNWkI79Z+B1xXL\nG7ZtlA25ug1SrZeqfzrbY12U+vfvLz/RdXq3bPF7f/k1PT+Xy+917Aqp1oH7949Stg+X0AhqJj5J\n/8NOfCbRkmwemW4O/lz4AwmilNt1Jy2ZJI4BbPvs6vTjex1Fp9fTws1N1NTURFUT9c5+ytW/WfN6\npb2OIf67GjuchupfIajF6WMX0mbxh81/3NpnLc0u0Pt1lYLZtHbtbOrqxeh2dq6hlVQh/ltJa3Lu\nbBwgnX1872ykeiqmQvxBeefHvgrr31VBoThqwBCu4nS+4kwqRhFX8sZv2c+StetXqEui3I2H0648\nE8V2PD4PK7pfOo82bZpHo8T4k27dJvuukeNpHzmOccWbNF1Tf5a0HOLT4SpXtQzia9K4pvUyT8P6\n20o1DS/bzWLnkkl6f+sw2+hWvpK3dlctg+16WLa9zQLsXLOSaNrlVFa8iVYaZxt9fLt9oF5eXm/L\n8A7LmnL/jhLLHe+smqfO7TTttpfsb+w/Pn6M7wm2808ajyX2u3J4Y546z/vekLRONv15WeT2q6bp\nxnDx7WPaBvFpmLqJ9Y/q846u0/6etO88gJnLv2uWcnmZ5fhZo3dmymW1O+b178bwpuMorsOwxn7U\n93+8v4d1tAjv39VEqtIvYJL6G9uruwlswzb9oEzaQeLqc25FNdUaO35dLVVXlIldyieEbTTXyNo3\nT6OVl+o7VExnWxl3rxLDFdDsuRVUbUxAjj9XZPii++0Laaye/a+9fLhpPPFZIcZZZDlAbPtrJ6bi\nFXr3zWKa+uAJqmVIHnfzwnqarvrrU1JMI53tZlIwe63Wnz8rimnerfqENtXT8NuNeRHNk+N6XQ/L\ntu9Q3LKT5LlmcgFNLKugTSvXJJZPsY/sl5dPftOJjH0jPlUTHZbV4/5VbiMzF9NM7DORbWzaRjvE\naHyyLa4gff/tEOGzY1Gi7fyV+93l8gre9r3BzXElTsS8/YwSN/4e3z78t+q0b/R58zacfimR8d36\nN2o9tpR/126W1+b4maz3clpWW8nD254nXO//NM5dUg78XYnAf+m8YjFrrf+KYm17dTuRsBSn61de\nfMAZAXBdbT0tvFyckmSxnOmKXhwQm/Q/AJ4ODxI3sYwqqmvFYcPjV1NFmaIizjze0OEd/8js+vNy\nWOdnx24ZLOMWTJ5GY/VhXHOYhuftZma+Sp5eTVTfqP3Bj51G4hwgyXnxuH6sh5ks8tPnw9ttk6no\nz24fMLvlldOx7BunZbWbtmX4JKptZOZimollmEhlFfXUKCayY1sxlYmTcz3vPx6+uFD+LSRRzN92\nvzM3y8u87Hvtp7aMbo4rK/P2cdw3+rx5G5q/c79UVPsg1fLaHT8Gp2W1Yxnensf9b2a3jla58Hcl\ni9V5v2mZ/sQqvvjrfvIiYXvs6sTLaWE9HxDrqLY+cSLhgyMp6MureTv8x8HZiRi/uoJUMTwtO7Z1\nLBazlcVlUEl3u/Ef0Sjx5643PrIvXcgezkKMosL+/aeLP1lT0Z+drljeLM1TnONo2w7eXyLzKphM\n03j/iWOs2HrAOM3fbr+7Xd5M1sv132NABHB5Xe//NOTG39VEqpL7qoxq5XoYVQ7dS15+6J6dXkCT\np9VTbbSW6qdN1q5IZdHTPFKUCHYw8fKFVD99OtUvvDz5D9VNtuDEekXroMMyWNZB/pHpRZ/m5ZLd\n9e8dOE0jk+1myrpU84/PK931sN32XOS3iSpMRXVcBJdU9GfHbnn5JEiWdXXcXjbk8In9m7QOLraR\nLYdl4AyGFi3S9xfvP6LaWqLhds1ylfO32e/M7fJ62ff6b9fHlROv+8ZJqr9rN8trd/wYnJbV7piX\nwyuOIxNP+z/VOibJkb8rEeSjspKcg/lmWjhWK7noboKbiYuDIKlO3NSQgg/u+mqiufH6U61+rX66\naXinRg584I0dK+uD4vT6Qy5SMxqHeCeWg+ttRunLwMVyep8OOixD8jqM4roevudGLNftXKekr9el\n24odroAV09Cltd14uxQn9kXS/E37aNTKabRZziuN9TBve3OLIruiOuNCSXXGUi6vVndoXtfoOuft\n1ZEY3rR/49N22kYpOSyDOLnxAWQcI/yzWmRl5sNWSjH/Dvvd7fI6DWe77w0ujquUvO4bBV6HlH/X\nbpbX5viJN2xTLKuYt/0xL4a3O46svOx/L+euXPm74g0yb5Q+31G0ctrtXX8HUxdoj7VTRFyJ8eNX\nuw9+wMSi4bQ527fT8Hxqy6jJ7gDurGUAAICcNXbsmLAVp2dONiabm53guc50+0R/brSpuALN5jIA\nAED30f0ycQAAgBzQLTNxAACAXBHcIJ7q5Qh8CwI3QDH+1Tun5HV4la6aby7oqn0AAJBD8vICe4vZ\nuuy/HCEw+KlHej263wGpK4IcAisAQKdoaW4JaBDnp/h0m5cjFNDsteJiZXMnPEABAAByRn6P/GAG\ncX6WrvXlCPHMTpnpaRltouhdZPPKlxnoeFrGPExP/FE+7N88vPk+8KTpuBjeiXX9jN/y38TLH/ij\nratqvUV368tF7JZTn37SyycMSf3M89T7xadljOdynpKHF6gwVXeDrH4xTx8AIPcFMojzwwKSXo6g\nd3cmMlrbl4toPztSP6jf/sH7qgf1c3e7Fyiohs+A6cUT8gUC0zmYqdZbexBD4uUiOxTLKYigm3j5\nhEW8nz5Pm5cWJLadl3l6eYGKqruOA7x8D0MAXlkLANBJ2traAtywLR385CH9YfvmF5yYM+v4U42c\nHtRvzvriD/tXPKhfFv2bSg1EsJEvUHB6sH+6TI8hlOsq5iwfNahY7ySq5eR+Tstp7qd4aUHStjNz\nnGdiXeT4NtssPl2n+XHWLy8UAv58bgAAn/Xs2TPHgrg4jdu9XMScWcvX9TnhAO71Yf8iwHTtCxRc\nvlSlK5Yz2/MU019hzcwBALqBiPgvHEHc9IB/1QsDDMoXnFgVODyo3/Zh/4oH9VumE6caXsX8FjQ3\n68vF5qblTPliF9VypsNp2zGP84yPr5puivkNFRdpK2h64tnrsiTFpt4cACCHtLQEtXW6mfJFAgp2\nLzixpX5xgf2D91UvLkiejvzIhmmq4c3WUdQYh2+pu302FTitrwhkxnLJx7qan72e6sUuS4YqljMd\nim3H3M7TtC4pX6DiND/dxKoVVDxvVCKQAwDkuCOOPCIHH7uaqy8X4ezyUqLbVeuFl6oAAHQrZ589\nNtfqxPWGXd3w5SJ4qQoAQPfS3tYdX0UKAACQA848c3TuZeIAAADdQaw9hiAOAAAQSpEgv8UMAAAA\nlI7odQSCOAAAQBh9cugTBHEAAIAwys8P6FvMAAAAwFmE0LANAAAglGIxNGwDAAAIpQhapwMAAIRT\nfn4PBHEAAIAwisVQJw4AABBK7e3tCOIAAABhlJeXhyAOAAAQRihOBwAACKlIJIIgnvN2LqFJk5bQ\nTv1nt+G03uui1L9/f/mJrtO7eeXHNAAAMhCLBbROfJI4MU5aYjr9ZjMQBT3IdeLy7VwyKR6Y+JO0\nD+x4XbZ018XXbbCOotPraeHmJmpqaqKqiXpnT/yYBgBAZtra2gKaiY+toOKVl1KqGNItFMymtWtn\nU4H+M1s4gI9aOY02i6DEgampaTNN27YmuBc36drZSPVUTIWZbFA/pgEAkKEAPzt9OF0+t5jm3WpT\nTslZWTxbjIqcqKOkjNLI4JLGm6RfIOykJZfOo02b5tEo0X1SNJqc8RkZoPw3StFJxvg2Raj6sEui\n3F9fLtt5MpHJxbuLT3weqnkn/nU1fXP3UWL99M5q6+jWeUQLbzdfLBTQ7Cr9t+18LNvOcsXVcR90\nHD4589en22E9beaT9nqL7S67V9N0HsbYrvFpmbardVvHWaahT8fzfjF3BwBIS5DrxCdW0QqabgmW\n2gm0eIWWLW5eWE/TrdFUnCgvnVdMK/SMckXxNtohx9tGc40sc/M0WnkpBxYRqG5fSGPHLpQZ6NrL\nh+sTsbGpnobfro+/ooKqp1tP7oIINNvKeJgqmqicpwhKk6aTWEC9u5i/PnpKrqafvI1cTZ8zy7HT\naLJtZuly2802jWy7DzoOXzB7rTZN/qwwXbQlrad1vB0ZrPdEquLu+rSa1hbSrarjKWkZzCzT4O+u\n94tddwCA9AT+sasTL19I9YtMJzoZbBbS5fpZtWDyNBpbXStOjyYFhVQssyQtyE6sEidWWfxpypw4\nk9rEgcUDc5CbWEYVYoqN1jOwadm0Ile7ee6gbZsqqCydelQ307dsI+/4IkOfpsxU09h2dvtA65PM\nnJlOryaqb9T2tdPy+7nelnGSjicv0zIP67R8XrcjAICD4D92tWA23T5tJd26Rv/tisiUZLZTRrXy\nhKlnzOJEKzOn+EcRWPyU7Xn6NX0OuptW0hoZQUXmu1ZMy5zJep6PYh+YcQAftZKm6Y3DPJVIdMW+\n9EK1fEFfbgAIldbW1oAHcaFg9lyieSJrkT842Mwjo9R155qVtKmiLPlEKIJDVFY2ciDZTAvHioyZ\nksfrwJwRmb7L6evfk6yrpWpl8bPOsqwJQ2n42GqqtVsWN/M2qKafFJAt05GZr01AFdvq8oViM9sV\n7yrXQ2eXTdrtA2PC5uFN2zDl+hrjpbPeKpZpyXGsx5NXjsun2I7K/QIAoNbeForHropAsKIi8V1k\nbPXTtSLJUVzvar2/R5wsad4orciy/yhaOe12ml2QPJ78cFGxHH42za3QijknrZlMt3O9qD7MpduK\nE9mhOAFzwyo5Lldpp2wxrpqnVscb787Fqjw4lzqo5m1LNX3eXsViE7idjobrpzdPW5lYR7FcNG2y\nWFqX287cSst2H3D35G09tzixTR2XM2k+Q31c7+R1sz2ePHPYL6rtCACQBn7YS6SpqSmm/wYVzpQu\nJbo9G7d6ZXPaAACQs8aVnB2GTBwAAADsIBMHAAAIobPHjkEmDgAAEEZ4nzgAAEBIcTE6gjgAAEAI\n5eflIYgDAACEUV4+gjgAAEAotba0IIgDAACEUQTF6QAAACEViyGIAwAAhBFapwMAAIQYgjgAAEAI\nxVCcDgAAEE49evRAEAcAAAgjZOIAAAAhFcOz0wEAAMKpHZk4AABAOOVFIgjiAAAAYZSXn48gDgAA\nEFYI4gAAACGEhm0AAAAhhVvMAAAAQgp14gAAACGGIA4AABBSuRvE39tLk27ZSzv1n1nj93z8mp6f\ny9VZ2zKbgrIOQdy/ABBKwa8T37qH+v+sMfF54IDew2deT4i5egI1r1fa69hMS24R+yrM24fXXRxv\nk55o1jsIbrZHrh4XABBIgQ7iO5/4D/W/h2jFDYXUpH9W0AFap/f31fHH0tofHUsF+s9uy4/t8N4B\nWkl9qELsqzXv6d3CaFAfKn5xDy0J8zoAQE4LcBBvpjUvEi2cO5Am6l3YxG/qv/VMScvQ9yQCu7n7\nor20Se+cPPx/Op6YjQxK/3fJA8awjRTdqg8TJzLNe8W0395Lo0T/SY9p2doau3FSzVc6QNH4MGLc\nl/TOLGl8fT2NZZUDCObf5uHN62/oMKyx7Th7Ft/j/T2so8XOlw4QnX4slQ1sppUv6ZmsPl277Sov\n1vRuydvIsl14ePP6WbaH7T4zD2/aHup5mvWiyyf2onmP2ZT+2C2HdZtxFp80nHk+zXQrl1ZYu9tO\nV1B1N8gSK206Setm7GsAyEnBfewqZ3Nv96LC4/XfScTJXZyQi7+rZeebv9RM02Uxe3L3prnH0tj4\n8M0018jo5/ahleJkqzy5iZPwttP0Yb/bh6rXWYftRbO/I6Y96FjaLIZZe2EvxThu5qsFTzKWWXyq\nTtN7KddTRbX+Jsf3ouK3m2mH+MrBtngkUa0MeM20TazXUP4quV1HK+3ia9ppvWjiaX1o04sHEsMo\nxi84/2Stm+xuBE2b7TLCYXsot7/99rCfp40RA2kF7bFcsKiWw7LNzm8Wwyn2v9gHw79jjE80T3ZX\nTddhvRkHeFlidTLNpr106aO94qVXK8SFFO9rAMhN+YF+n/ggc1Axea+Z6sWJ8vIR2s8CESzGvnBA\nZJHJ3eO4uzgRTjeyE3FC3KQHMlvmaQzo1TEQ2rEbx818ZdGzzTIz1XpqPztSrX+SPlQ2spkaRca2\n451eVCaCcz1nzjzuwF7OxehutotelD6ZL75G9KGKt01F6qrxzVnmPWJZ9jTTTrvt4rQ97KbttD3s\n5qn3spp44bFUb75gcbtfeDjV/h+kbyNBjs/dVdN1mp+4eBklLxT0Eiq+SJPz1LL1eMkVAOSktpaW\ngAZxmTH6WKcqToKcHcmMSH466eTWVfN1MHQA0bZ3DlDtHnGRdHwfmrZHBIR3mqlYBIdMcXZvFCdz\nsW+1yKjjRep2OJguOkDT5urbx670wG9e53n8sXT76QfoVnM1h1vZ3v9i+iuSMvM+VCXn04dq9X2g\nvOgDgNDLy88Laibehy7nYsZFySehdQ+I3zLA76VbjTpVDhwj+9BES+CX3fmLZXjfOGXzzM18OYiS\nYhjVevIP07yT19Nm/S04kyORWdaf3kdk3r1o8ulEtSJADRfBvYNU65iEi9KbqcIovubPdy1F6nZM\nWWliXWy2i9P2sOO0Pezm6aDg/GOJHtXr1FMth7HNLMOpxMdXTTfF/Iaef7Is8jfq4KOyRT0H85Np\n4SCt1AUAclMkEtggzifOk7X6P6M4Unymi5PTRD5Bieyp/h6t2yiuA/wmZ5GiO9dvLtK6X/qOUWSb\nPLz8ZNrgR2Rnc0dqRaVGo6+O3MxXq0c1D5No2KZYT84MTdslaT1t199CBAV6W6u3ZgUnEFWLrNwI\nanGu1tHErgjcKFJ/R/9txfMYaGTu5mW22S5bFdtDSbE9lPN0wtMy5uWwHOZt9kQv9f4XQdmY/6gX\n+9Bm4/i1nW7q9eZi8+JH/0OT+NgR/2rz+w+tPH0gzbbuVwDIGbFYO0Wamppi+m8AAAAIibPOHBng\nhm0AAACg1N6GV5ECAACEUiQvwHXiAAAAoNYj0PeJAwAAgFKvnj0RxAEAAMLo8OHDCOIAAABhFPxX\nkQIAAICttvY2BHEAAIAw6tkDdeIAAAChlJefjyAOAAAQRi3NzQjiAAAAYRTs94kDAACAUqwdj10F\nAAAIpXYEcQAAgHDKR8M2AACA8EIQBwAACCkEcQAAgBDCY1cBAABCCkEcAAAgpNCwDQAAIKRwixkA\nAEBIRSIRBHEAAIAwamtrRRAHAAAII7zFDAAAIKR64gUoAAAA4YRbzAAAAEIKrdMBAABCCkEcAAAg\npPLz0LANAAAglHCfOAAAQEjFxH8I4gAAACHU3oY6cQAAgFDCLWYAAAAhlZefhyAOAAAQSjERyPWv\nAAAAECItrS0I4gAAAGGUjxegAAAAhBPuEwcAAAgpBHEAAICQam9rQxAHAAAIo9bWVgRxAACAUIrg\nFjMAAIBQwlvMAAAAwgoN2wAAAMIpFsMLUAAAAEKJH/YSaWpqium/u6Ut72+R/65/Y738l004cQKN\nH3wG7TuodwAAAAiYkrNGIYiz8i3l+je1CeK/6BlR/RcAAITZli1baNeuN6i8/CK9S/icM3Zk7gfx\nfr2JvrexnKrOqIn/tsuwq0QgT+TiqdXo0wMAgPCoqqrSvyWLRsOXpHEmnrN14hysOcM+zxTAGf/m\n7jVNyTsy6jEo8zTcZPAAAADZknNBnIOzEbydVO9a3yEIc3b9ZCmCOQBALuLkToWL18Mm1p5jrdOr\ntlTJ4GxmDsp2wdbajYva5584X//lHk+H5w8AANA5cuw+cW54xtm08akYMiFe/626ArML2PPf8B7E\n2XrxH7JyAIDs4PM4f5pqtsS/e+F0x9EZZ5yhfwuXbtM6XRVcrQ3U/ArC1ukCAHQ3HGTvvu8Rmvnt\ni9K6ZZfH332Nh3PyhAnUP8VdRLnUsK30rNG5EcSNwOvmNjC+L9zItLMVwA1clJ/OgQsAEHbRaMdg\nWVWVOlB6DtwO+kftkymOA+vv1aper7oiGtrzdGmu3CduF3y5mPyM49TFI1x/bQ74fgdwAzJyAOiO\n0gniTVVZOA+7yM7DioN4KOvEoy4CrvkJbHYB2hzAuUU7B33jwxm9X3jeXuttAAC6Ew7eWQngbP16\nOe2cPA+LFDyUQXyX/q+Tq0qTr7w4mKqCf3n/qMzajY+5gRw3jstUqtvdAAC6q6wFbwsuom+qya1z\ncSQvEr7idCOrNhdT22Xadv0zLdrmK7l0A/IQ8TE/dAYAINfV1DwiEuFGqrhyQofqzSa+JVdkyV1B\nVVceNl8858xwZeLmYO2laISz6UwDOOPGDzwdDshecemBm2oAAIBcwc8l53pw2/ZJXRTAWWdl/9nW\n2toankzc3KqcBaHlt10JQCp+XEz4of8Z2rI3bfFneYzpMb+maTBP2zC/YoJvt4TwLSfzq7UTit/L\n7sRuvexka5nczL9CbOcqH7YzX3RHirT5xRr8/du1W4/11fOV9/1ydlgx/w79l3t+bQuvouL4rO6C\n4zNbmmpEBm55KJfK4Cu8HSt8nO2+z/30w56Rnz369PAEcQ6Y3OCM67qDdDuA10AehGJ1bjVarV8F\n+3VCtZ5I/TzZqIKNX/MwT78zTpJnlJfTLjcNO0yGiAPntXWZ7yu+GJ5wofeHGU2YMIFqXNwepMKP\ntJxQkZhvVx4fquG9EJtDbI/sHyuss4/PbEuVBXsN3E5SFtkPmUD9yzv/wswv487OkfvEuxoXk3s5\nJ3d1Nm49iflxYrA7Mfp1wvF6kvbKPP3q+fOpvDw7T25SrYdX6a63H/Pni4ktNd7nbw3irKuOD7/2\ng8HvkgUr8/Kmu/2DwjaAd1IglVm6zf3nfl40dLaSsSPD2Tqdd4a5fpmzYePDmUZn85pZd2XduJe2\nBJkqFxln0HFWbFYhgrjfOID5GTh4Wl5e1lAerfJt/lyC4Ne0rNs+rLiaIFvrYp2u1xKcILE793Bx\ndmdlwhyoeX4ctM38erBMV8jLywtPEDcHam4hbncsc1G1bQOKTuAlu+Zl74qLDWbUS5pl6wS0Xqxo\n0N8MZHdSLI/6tz1421ozUD/wNO0epmHFAXd9FhoQeb2QsOPnBUFXy9a62B2fNTXB/puyk5QF88NX\nOHh3UX20EczN8w9rQ7f2thC8xcwI3HaMKzvj4SxdXdfsJZCn+5KVTKguHLJ5dc/BhjPBIOIGTnb8\ninm8vbO5bY12DSqq9fOLXxcnbi5GwsLPQK4qNctGaVG2JQXwAD09rasuJPzS1tYW/CBu95Yxg3HP\nNjd28/oe8Gzx82lvfnNq0JTNjIgzwc4sxncrnRbKbvGFi9sGZNxobP1j82UdrvHh1tWp8DgqvD+9\nrB/XtfJy8McLnk+mpUp8MdJVJVNm5m1g/Xjh19+SXalZGBl/+zL7DeDjT3m5uIg9jNl4r169wtGw\nTZWJs6DcsmXmtLxmnX2bXKqTSyYNjdycuNKdvmramSxvVU0VzZ/vnMlme3u4vU3OblqpGji5mT9z\nWke+EHFbFJ9qW9k1bLNKt4GY1+NDNbzTbWkGN+vBJoj9U5NBAzTzbY92wtTAjYNjGDJefppb//Jw\nbFPDuWePCXYmblydByXLdsvt8nbm41jdnNSzXazJyxCUjDxVAM9Eqm3NJ2AOMG7vc+dhzVk3B5tM\nArgx/1SBl28pczMc86NdBWeeQSyxMeMg72abcHuQTNbFKYAzrqYJ+rZivIxhKbLmAC5vSQuTSMCf\nnW7UG4et+X/YlteQqo7VD2EqIszWSTKdDIobbHLg4ACcKlt0whliOvNPFbT8qvsP0/GRapukuy5u\nj7tTJgZ/W4XtXBi2t521twe4YRu/KlSFa6i4GD2IRemGCQGqG/d6O1K2uSkVyCa380/nJJwqI011\n4k8lVQB2WrdqkcFnUsSbatn9KsnhdQhDlslSbZN0jnW3x102G01COOTn5Qc3iK8X/zGjftkcsKMB\nDt4G61vUVDrjZOWlFXE2bkeyUxPwW88MXi5qeF86nVi5zjebUl2slWeQwRucGtz5WZITpozcY7s3\nX2V6m18uy/bdGUEQitbpzMjKzdm3061nQeC2GOl7Wa4X5+cue9UZFxYV4sKiKzJyr9vDy0VNqsCT\n7aJFp4u1TEsADKmK8rlBll+64vhIBz9+1WsLdhWvrfT9us0vF1VXZ+/uk6CIRCLhCOJGVm4IcvD2\nKtslYsaLE6ycbk/yMwviOlwnnX1rkWp7ZDtLrp5/if6t86XaB145batUDbK8CsKtZ25wI0AVLxmh\n6rbEbB+f2ZJpQpCtkgZerlTLFoZSjrz8gD6xzbxxuW45yHXfYcUNpTrjxMAv7XDKAtN5GUe6VPXV\nHOQ4S1YFOz8yQn4lY1fx+1Ykp22VjlTHR1gychW39+s7tafgbc6NEu0Edftwqcz3vp+8bNZHMfNF\nmrUb/zY+dGLit8FunGg0MQxfNBkXTrwM5tIhDsw8nFEqZp0O/zaG4TYkQdfa0hrMIL5hd+IKKKq3\nFjRfkfucWOQs1UnBOBk4Fe/6fRXqdNLvrJOQqr6aLzSY38HO4FdRq5POqAIxq74Dxbh+Ux2fxsV2\nJo0Sw4b/Znh9Odkw1tsIxnaP1jZvO75gNi6a+TZO862c8+cnGnfy+U/7nVxSYgxT1UlvqctEYJ+d\nvquHViRnZOAcwPl2M6Nu3Hi8asWQ4LQAt9PVy6c6KZhPBqoA43ddWyatqv3gdFHidDFjyKSRzJN/\nyP5tKxs2dm7Rn9/vKOBs3CnzCUM2zu8bzwbz8ZnN0qIgsT5Dgc9Z1vYp1r9p83nNjjXrZtzGI8x1\n521tAc3EOfgYAZzf+GXcL85148YbwLj/kNZgB/GgLx9zqsvz+3azbNyO45bqosR64lWdJFMViTpl\nwm4uEjKlahnuZ7F3tqVqPR/0QFWRQYmLat2s08xWaVHYVFRcIjNm5rUUioO5+WMVpr+ZHvkBvcXM\nKEJn1mTS/NvvbCCXqIrS5893f6LJxu1mqQJ5ZzdkqrJc8TudJNNp6Q/edOWFXhBVOVxkW3X2305X\nMrcx4Xr3+R6qdzhjt37CKtCt0/nqStUKPZdap2cDBxtVUXrU5t29XgK7Hzq7IZPX+n1Vsa6qZTv4\nq7sFcq/Hp+pe/c5sJOqX9fe6+5tSVWdxgzY+17lJ6MKUYbvVGuT7xDvzueLZYtTtdzZVsFHV2dkF\ndkOqJ5ClK9UflJ8NtVRF6aqTYToPRXEqMu+MRmeqolzVxVzQpbpzojO2qVfrd6X39646PlV/I5k8\ndjdoVKV91ucNcL31k3oDVAO35/FyfBsN1fxutNuVAv3YVa7zVj261KgvD3pGXp3mH3W2WIuOzVT3\njWcrCHCxNb/FS8Wve9Xt6rwM6ZwM08kCz7PcZpMN40s798Se7aJbvihyaijGx0e2LjDTlc5LdZza\nnThV7agCfJCqfPjcYT1/cD22uT5aVZR91RXRpOF4POuFstH4zRrcDbyNjPENPD/rMoQ5qOcHtXW6\ncZVtrhu3Mhq4QbJ0H2fqVByVrawn1Vu8/Cg25bdJ2XF6fCir1hvN+CELTQs66IzGc2bzL/Fv+6g4\nXXQyDhBBzMi9UGWiqe5RNm6LtApSlc8ukcRYLzb4wtlaF20XyPl4Ng9nd8Ft7HvVsc+ZtzG+mXm6\n/DFPm3+H4dYyQ15QG7bxTuEsu6apSmbdRubNjO9ZShBDjx9naidVPSNT3W6WzedYd1X9Z6osvLxc\n3T+dF310xotlVLIxb9XFkd/4+HCqesnmsemXdG49S1Wlw+dI1XYJUpuBbAbE8yaWy1bq3V2kqakp\npn8PFKOonN/Nbb3SMhejmwN80Lgp7ucqA6cSB69Uf8BuTyTK+nQR4J1ayqrmy3WbqitlA19Rp3My\nzuQCwM32cMpq7Oad6uTp5kIqE07z93PeXASpCuL8eFm7p9NxkaWq7tfNsqXatnZU01VNi0tn0qli\nYdzwSnUbomo5+OJKlYm7+nsV+0B1a2G2jzUnvK+N2784s/WKj69U4/EwfBETpqw5G849a1Twg7jB\nHKzN/eafKP7wAnirGQcmN43z7C5S0pXOic4LpxODat5ugrjB6/KnOlFlc3vwSdZa3JvqYiSTIOEG\nNwZyena5Xyd2p+2qmkemQZz5dXyoppPu/km1370uhx+yfaw54e3h1zlNpTPmEQYTSscGt2GbtVGb\nuSENB3QO3sx4EEzQuG1d79eByAd12KWqp/Yi2w2v7LJ03pdORb+qIOaXVG0M/GjA4xR4sn2rop/H\nh5/SKUXK9vGZ7WPNifmclq3zEgK4prWlJbhB3FrEzNk2H/ichfOBwb85mHMmC+mdSLzKdmtgzhyc\ngqAXnXHPrN0Jys3jZdM9sfF4qbI3p1uz+MSeSSBPNW+nWxX9wMdHqlvPOluqbaLKwsN4T3c6ONg2\nVWX/3NRd5ffoEdwgbsfIujnLNVqnB/GKzO1Vtk/xqtNk63YzMw6CmTy+knVWI7J0L5x4PK/BlC+g\njPk5XUyl+nvgQM71iV6lClYZ7jLXeP0yPT78ku4FlR8lIm4E5nYzsb+ylZH7KYwXG21BftgLM4Kc\nXeM1jieclbtpPNbZ3BbxGy9yyVQ6J+V0ZfIiELe8PGrSTjYeF+uFmzpeDqYcBFJtT+7Pw5kvoPi7\nUwBJNX9ulMbjpwomRubvNC9DTSc2MMr0+MiE223CJUqqC6rOKuoOyu1m/c+I0u5rygMbJJtqquSy\nDb6i845hv/BjVwPbsI3xHwxn3RzEObtVBUfuz8HcLth3Ni8XFX4tr+qEwieSVMW7Kk4nKbsgoRre\nS8M2q1QnSq8NhtwEVxXVNFUNiDhb9lpyIV8RO4SfQrXe1bhOdwyk2nZW3Kp8yJAT5XevQcbNPuYL\nBtV0090vfh8ffIulXZLP14ReLwyd1qkzj0+WyXT9Yg7g/aNdvzyGJn4zpr5vg7RcbgW6dbqVU3A0\ngjifA/3KbtPhdKFhx48gno2To8HLiUE1bCZBnHk9OWXrZMb3hnu9nYcvQrPdVsFpnfjBP6rnBvjF\n7TbN1nGazv52GscPTuuTreOTqabtNF0+Z1Xfu57+eEU0o79TN6yZeFcGTc6+yfRETc7Cs73+2VAy\n5vRw1YnbMV84e0x8fMUn7M4O4CybRXNBqHvM9MRmyLRBlFMRrqoOPtsnhVT7J51nwHvB2XtX8+v4\n8Eu6y+PnEwKt+Nxkh6tqxg8+Q94qefd92a+ntwZtDupNNZ3TPsBMXkxYHokdxgDO8vID+thVK9VB\nqEk+kXFG7rZhmV+MYn+3/GpR7/SI1UyDFnMKXM77xF+q57pbOT1JzY8/UtUtTk5FrXxSz8atUTxd\nN3XDPFw2LsZ4unYPdekK6QZOP3HVVarlcDo+nZ4Q6JbqOFOVBg0Zd6LWyFKcLyv4eeJi+bL+dz3E\nsoy75mvBnD9ctJ0FvE7xeXAAtwhjMboh1h4LRxDnE7Aq8E04seMJyktG7AcvAZz5ddWnKip1alTj\nl1MmelvnTLh9mI+quNsvTg/PcDr58Xh+Bhqv0+Jg7/ZCyI0gBE2rrryHnO+Pd9P2pCuPTzvxv6s3\ntH/mXzmBNmzMbgLU3+liRWwfI9D6cTFhNFjjRnUqYWzMZtazZ8/w1IkHkdc6cNYZT2jz8yTLf0yq\nK3nzfFTLkmmduBnfMmNucWuefzbbBpj5UafpNA0nfmzLmhot6/Iqk0aSrDP2j9PxYZbu9rfystzW\nZTPrjOOTC2OsdxBUiSDHb17j+fNxMV9cCPGLVbKdADBrnXRXCGs9uNm5Z48OT5141ZYqWVRuFJdn\nvdgnhXQCOMv2QcMnWz+5XV7Va0X9XF+nt1qpshC/MzTVCVf18hg7PA0v1R08LI/jx7bkYlueltvM\nnIvief6ZBHDWGfsn1VvPDOlWL/A+5u3G2091HKhwwzE76bwcxYlqe863uYAyAjjj44JPHZ0V1Ppn\n+cFAqeRCAGexWHu4MnG7FurGs9Pt+pn51ZAs3eDN/MzCAQAyxcnQed+vEll61wRVuzrqbAtzHbgV\nt04PXXG6NVgbbwFLFcRZpm8MczMPlaC+qAUAoCvxhYRTvbWfcimAs/HnjAlnnbg5mHJhVFS/T9wL\nLjr6Y4rMWF6lemy0Zofn1ZX3rwMABF02s/JcKT63OvfsED3sxYzrx9eL/5gRIPlZ6l15n7gTv4ry\nAQByme9Z+ZAJXV7/nk1njfx8eFunmwM5B0nz76BABg4AkGC8K4Af8Zvqlri0A7oI3IO/nf0n0AXB\nF88eHd4gzozibg7imTQ4yxZk4AAAieBt5faBQSkDejcK3Gbjwx7EGe9c3nFGQA8CZOAAABp+RsCu\nXfoTZWwE5cl/YcSZeOifnW5ceQXlCmyCuCJEAAcA0DgFcMalqJCettbW8Adxs64svq4QwZvnH+2f\nu40oAAC8cBOgdz3tHORBrT0Wkmene8GBlO8H70x8D3g5gjcAQDLE56zK+WenZ7OxG+q9AQBSUzVq\nM7hpqQ72cqJO3Ak/IS0bmTln3gjgAACZQwBPXyQSye1MXIUz9PUeMnR+IhwAAKQn01vMwF7pmSF8\ndjoAAISPNZAjgGcOQRwAACCkOIjndJ04AABAroqJFBxBHAAAIIS4YRuCOAAAQAjl5+cjiAMAAIRR\nzx49EMQBAADCqLmlBUEcAAAgjNrb2xHEAQAAwikHX4ACAADQXSCIAwAAhBDuEwcAAAipiPggiAMA\nAIRQJC8PQRwAACCMkIkDAACEVCyG1ukAAAChxK8gRRAHAAAIoTzUiQMAAIQT6sQBAABCCo9dBQAA\nCCnUiQMAAIRUJBJBEAcAAAijWAzF6QAAACGFTBwAACCU8lCcDgAAEE7tYX9iW01Njf4NAACgu3EZ\nxDlYBjVg9uvXT//mjbFOuBAAAIAwys/v4S0TTzdgBlF5ebn8d+bMmTm1XgAA0D1wnXikqamJ7xdX\n4kyVAx4Hurvvvjse/KwZrNGdmful6p6qG1NNg3EQ3rdvn3KeTngcu/FZquUGAADoSueOHekuiJsD\nnfW7wRzgmZHdGt15eP7XnPUa/eyGtZu2dRrc3VgeZp1OKm7Wx265jfkBAAB0lZLRX8i8YRsHNGsQ\n5cDHQZA/zOjO/xrDm8exmwaz624d3qCap1ep5mmdLwAAQJeIiP+dMnEOjHaMDNWcBRu/jQzWCID8\n2+huHp45TcNrd7t5mudlxzx/t8viBo8LAACQDrcx55zRpxFxEFd9qqurY1ZGN+Nf67Buu5v7pRo2\n3e7Gd6O79WMdzvhu/m3tbu5v7WZ8AAAAMmEXW6yf4qEnx1Jm4tYrAlWGah7WmonadefMmVm7cTad\n6bSZubt5WgbrfK3DmX9bh2Wq6QIAAHSGcW4athn1wWZGN2s/82/+bmbXPVW3TKbNuLtTsLXO1+08\nzd3spgsAAJBt5541KnUQDzMO4EZ2j2ALAAC5pPTMM3I7iAMAAOSq0jGn4wUoAAAAoRQhBHEAAIAw\niuB94gAAAOGUl5+PIA4AABBGba2tCOIAAABh1B5rRxAHAAAIo7xIHoI4AABAGEUiaNgGAAAQSnl5\neXjYC0Cue+GFF/RvoDJy5Ej5b//r3pb/glrTzwfp39x7/PHH9W+gcsEFF+jf3DvXzbPTASDcOIj3\n7dtX/wVW+/fvRxD3IN0gPmbMGP0XWD333HNpBfFzRn8BQRwg1yGIO7ML4rtnHy3/hYTBSz6W/yKI\n+y/dII7HrgIAAIRUeztuMQMAAAil/B49EMQBAADCCM9OB4BgO9hITz/dSAf1nwBdZtdd9NWv3kW7\n9J9B0NLagiAOAFnCAXj1alpt+ry4R++X6/iEP3gwffUu0yk/kyAQwADS5Z6cR4PFNo5/5j2p9+g+\nIuKDIA4APthDL9plzH2L6ItTptAU/nyxiPY3dqOsevS3aPgjPyZzHM+OXXTXV+dRdwphu+76Kg2u\nIKrevZt2659qWtuttgGLxWII4gCQiYPU+DRn2e/QgHGF1Fvvamv/Qdrft48c5mDj06YM/WlqjEd2\ncTFgztzNt23vedEybNAV0azLhtPVS21Ci56pa1nkV/VA/yTNE7/j2bschvuJIP3jq+n556+m8eb+\ncUPo4ocm0VqeVrfI1nfRE48QXbVhIZ2nd2HnLdR+ywBv3bZ6ScZd84zugymRuGvbPam77f4JHjx2\nFQDStudFDrQvEI3kTPt0Gqh3T7K/gZ4ygvIL+6moUBuqd+E4LTvnz8i+1NDI5ex8QWBMT/ucbtyS\nzEXzstc4KnS8UgiY8xaKDLHCFDCYCBrjG+gyI4vccBE98mMOvufRwg1XkYj6YggO3I/QRRseoouH\niCB981U0evRVtEEM/9DFQ/TpmIlxeVo3E/2YA08uFy3veoIeeX44nWK3GYQhFz8Uz853V5suosRF\nUMMko/u36P7f8jbnUgyZ0sfHWXieav8EE4I4AHikZcvvDOBAmyKoJhWnD6Q9L+jF6eb68hfeEsH+\nAB08+LaYchHpcT6BLwSeOkiFqguFgDtv1lW0TQYM3a7XaBvdTxVGpjees+wGeo37DbmYbr5qm+g3\nnh656GYRwOUY7onxH+LAM2mtmHYOF7GPLqJT9K8dmLPoivuJtr2mbXtxETTLSN1PKaLR/C9fEJCp\nO3PaPwGD+8QBIA0D6XQRlAe8w0HYQ/F27z7Ul4vUOYA/tYcGftEI7kXk+Dw5cSEwsmg/vRDWVnEc\nmC96hJY+of9melZtZH+7dyeKhoecMlz/lgYjgK2dlDTNnDLkFBr+/CP0hF1qzOs/nksw9O264Sot\nWHvlsH+CJC8/H0EcANIz8HQOwiOJXuBg/qLIolPY8w691be3FrD7DqRBegZ/8O09tJ+/9B4kLg8a\nSJasW/QtHEcj6QV6OjwV4kmGXHwZ0dUio5M/OAhdTXZV5bKoXZbuVtPwqy2N4hyzQb1e98dEN3PQ\nWZiT4Vt3Hs3iWofxySUNT87Tf4++iM7XSzB2PfGIts1VhpxPF5FlXzjun2BBJg4AGepNheM4mA+g\nd+xapyfViRON5MZvvQupsG+i+wsH++qZuJjWyCLaLy8KtI+5YdvA00dS34anQhrIz6OF1d9KfBcZ\n4rYKvbiWP7JBGgdijuCc9fHwwxOBSmTzl31LK+Lt2LCN63XX0iQO3g9dTF5L4MOI6703yGqHxDas\noEl0Hm+n4VoDQO7244bhKTJxrb2BeV/Me1K1f4KnZ4+eeAEKQK7DC1Cc4QUo7uAFKNmDF6AAAAB0\nN7jFDAAAIJxaW1oRxAEAAMIoLy8PdeIAuQ514s7s6sRBDXXi/ku/TnwkgjhAruMgDs4QxN1LN4iD\ns7SC+JkI4gAAAKE0TgRx1IkDAACEUCQvD0EcAAAglGJ4AQoAAEAotbXhFjMAAIBQwrPTAQAAQiqC\nJ7YBAACEF4I4AABACMViMQRxAACAMEJxOgAAQFghiAMAAIRTJBKh/w+b7gWEfSeDYAAAAABJRU5E\nrkJggg==\n"
+    },
+    "figures/installingAnaconda_windows_installer_10_finish.png": {
+     "image/png": 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i5/4mhBBCegqH+QqAiPO7H2/ET5Vwv/3+h2hqbtaTlki4uMiHDR2CaZMn4qJZ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\nGdONowghhJDgoXiHCSnG46dOYUNlFV5Sol2uLO3d+/ahvqH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+    }
+   },
+   "id": "b2b9ab9a-b97e-4e4b-8194-b219a3e18ff5"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/intro_to_anaconda.ipynb b/tutorials/module_1/notebook_1/intro_to_anaconda.ipynb
new file mode 100644
index 0000000..84b0cf8
--- /dev/null
+++ b/tutorials/module_1/notebook_1/intro_to_anaconda.ipynb
@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to Anaconda Navigator\n",
+    "\n",
+    "Anaconda Navigator is a program that we will be using in this course to\n",
+    "manage Python environments, libraries and launch programs to help us\n",
+    "write our python code.\n",
+    "\n",
+    "The Anaconda website nicely describes *Navigator* as:\n",
+    "<blockquote>\n",
+    "<p>\n",
+    "a graphical user interface (GUI) that enables you to work with packages\n",
+    "and environments without needing to type conda commands in a terminal\n",
+    "window.Find the packages you want, install them in an environment, run\n",
+    "the packages, and update them – all inside Navigator.\n",
+    "</blockquote>\n",
+    "\n",
+    "To better understand how Navigator works and interacts with the anaconda\n",
+    "ecosystem see the figure below. ![Anaconda\n",
+    "Schematic](attachment:figures/AnacondaSchematic.png) As you schematic\n",
+    "indicated, Navigator is a tool in the Anaconda toolbox that allows the\n",
+    "user to select and configure python environments and libraries. Let’s\n",
+    "see how we can do this.\n",
+    "\n",
+    "------------------------------------------------------------------------\n",
+    "\n",
+    "## Getting Started\n",
+    "\n",
+    "Note to windows 10 users: Some installation instances do not allow users\n",
+    "to search the start menu for *Navigator*, instead, you’ll have to find\n",
+    "the program under the *Anaconda (anaconda3)* folder. Expand the folder\n",
+    "and click on *Anaconda Navigator* to launch the program.\n",
+    "\n",
+    "<figure>\n",
+    "<img src=\"attachment:figures/installingAnaconda_windows_launched.png\"\n",
+    "alt=\"Anaconda Navigator screen\" />\n",
+    "<figcaption aria-hidden=\"true\">Anaconda Navigator screen</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "Once Navigator starts, under *Home*, you’ll see tiles of programs that\n",
+    "come with anaconda. The tab allows you to launch the programs we will be\n",
+    "using in this course. Before jumping straight into the programs we will\n",
+    "first need to configure our Python instance.\n",
+    "\n",
+    "The *Environment* page allows us to install a variety of libraries and\n",
+    "configure our environments for different project, more on this in the\n",
+    "next section.\n",
+    "\n",
+    "## Environments\n",
+    "\n",
+    "A Python environment can be thought of as a “container” where you can\n",
+    "have all the tools, libraries, and dependencies your Python project\n",
+    "needs without interfering with other projects. Think of it as a\n",
+    "dedicated toolbox for your project.\n",
+    "\n",
+    "Although the base environment comes with many libraries and programs\n",
+    "pre-installed, it’s recommended to create a dedicated environment for\n",
+    "your projects. This protects the base environment from breaking due to\n",
+    "complex dependency conflicts. Let us go ahead and create a new\n",
+    "environment for us to use Spyder with.\n",
+    "\n",
+    "1.  Click on the *Environments* page located on the left hand side.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"https://mintlify.s3.us-west-1.amazonaws.com/anaconda-29683c67/images/nav-env-labeled.png\"\n",
+    "alt=\"Environment Page\" />\n",
+    "<figcaption aria-hidden=\"true\">Environment Page</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  At the bottom of the environments list, click *Create*.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"https://mintlify.s3.us-west-1.amazonaws.com/anaconda-29683c67/images/nav-getting-started-create.png\"\n",
+    "alt=\"Create new environment\" />\n",
+    "<figcaption aria-hidden=\"true\">Create new environment</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  Select the python checkbox.\n",
+    "\n",
+    "2.  Select versions of python. At the time of making this tutorial the\n",
+    "    latest version of Python is 3.xx.x. We will go ahead and use that\n",
+    "    one.\n",
+    "\n",
+    "3.  Choose an appropriate name for your project. We will be creating an\n",
+    "    environment for the Spyder IDE so we’ll call it “Spyder-env”.\n",
+    "\n",
+    "4.  Click *Create*.\n",
+    "\n",
+    "For more information see [Anaconda\n",
+    "Environments](https://docs.anaconda.com/working-with-conda/environments/)\n",
+    "and [Managing\n",
+    "environment](https://docs.anaconda.com/navigator/tutorials/manage-environments/).\n",
+    "\n",
+    "## Package Management\n",
+    "\n",
+    "Now that we have a clean environment configured, let us install some\n",
+    "library we will be using for this class.\n",
+    "\n",
+    "1.  Navigate to the environment page and select the environment we just\n",
+    "    created in the previous section.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"https://mintlify.s3.us-west-1.amazonaws.com/anaconda-29683c67/images/nav-pkg-list.png\"\n",
+    "alt=\"Select environment to manage\" />\n",
+    "<figcaption aria-hidden=\"true\">Select environment to manage</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  Use the search bar in the top right corner to search for the\n",
+    "    following packages:\n",
+    "\n",
+    "| Library    | Usage                             |\n",
+    "|------------|-----------------------------------|\n",
+    "| numpy      | Numerical computation             |\n",
+    "| scipy      | Scientific and techical computing |\n",
+    "| pandas     | Data manipulation and analysis    |\n",
+    "| matplotlib | Plots and visualizations          |\n",
+    "| sympy      | Symbolic mathematics              |\n",
+    "\n",
+    "*Note: The libraries list may change throughout the development of this\n",
+    "course*\n",
+    "\n",
+    "1.  Check the boxes to install the selected packages to the current\n",
+    "    environment.\n",
+    "\n",
+    "## Installing Applications\n",
+    "\n",
+    "From the *Home* page you can install applications, to the current\n",
+    "environment we created in the Environment section above. In this section\n",
+    "we will install Spyder IDE, but the process is exactly the same for\n",
+    "other applications.\n",
+    "\n",
+    "1.  Go to the *Home* page.\n",
+    "\n",
+    "2.  Select the desired environment. In our case, we select *Spyder-env*.\n",
+    "\n",
+    "3.  From the Home page find the Spyder IDE tile. Click the *Install*\n",
+    "    button to start the download.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"https://mintlify.s3.us-west-1.amazonaws.com/anaconda-29683c67/images/nav-tabs.png\"\n",
+    "alt=\"Anaconda Home Page\" />\n",
+    "<figcaption aria-hidden=\"true\">Anaconda Home Page</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  Once the download is complete, press *Launch* to start the\n",
+    "    applications."
+   ],
+   "attachments": {
+    "figures/AnacondaSchematic.png": {
+     "image/png": 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kx2W2T5s6wNPX3719cVr761qLuM2506lXFQM8pHes04Mv5Mbz1PHbPi0ua+i623K3ozvI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\nXrPDGAAAAABJRU5ErkJggg==\n"
+    },
+    "figures/installingAnaconda_windows_launched.png": {
+     "image/png": 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bcDztGN65/FM0rt4MC5Lmopp3NXSo2wkXN+mLo6mHi1xs/fcDyzB18wtqRkJnWtVqi4+v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\nSpd6V7/tX4ofd32p6lvFnShZzZjiqOlTCy9eMg1XtByse1wze8e7OJ1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lZBKqldtWTJEuzevRtpaWlq2bNnD2JiYhAZGYk+ffqofeU2su/IkSPVvnIbadtvd9QeHRGPAsM9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\nI3o1sc+LFy+Gz+fTohJh26effrpe5tgQlmOdFK1oF7ft379fj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998Uws1FGHKy8vxu9/9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\nBnv9Qwf5wVCS/nmhP0o3lHSn9YZADB/p5AfAQNDn4Fwke/7Nx7P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+    }
+   },
+   "id": "e927334c-ede0-445f-94fc-e3b92f72f847"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/intro_to_programming.ipynb b/tutorials/module_1/notebook_1/intro_to_programming.ipynb
new file mode 100644
index 0000000..f41a719
--- /dev/null
+++ b/tutorials/module_1/notebook_1/intro_to_programming.ipynb
@@ -0,0 +1,44 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to Programming\n",
+    "\n",
+    "## The Importance of Programming in Engineering\n",
+    "\n",
+    "Engineering is all about solving problems, designing innovative\n",
+    "solutions, and making systems work efficiently. Whether you’re designing\n",
+    "cars, airplanes, rockets, or even everyday machines, programming plays a\n",
+    "critical role in modern engineering.\n",
+    "\n",
+    "In mechanical engineering, programming helps us **analyze data, model\n",
+    "complex systems, automate repetitive tasks, and simulate real-world\n",
+    "physics.** For example, instead of spending hours solving equations by\n",
+    "hand, engineers can write a program that does it in seconds. This saves\n",
+    "time and therefore do more.\n",
+    "\n",
+    "With programming, mechanical engineers can:\n",
+    "\n",
+    "-   **Automate calculations:** Quickly solve equations for heat\n",
+    "    transfer, fluid dynamics, and mechanical stresses.\n",
+    "-   **Simulate systems:** Model how a bridge bends under weight or how\n",
+    "    an engine burns fuel efficiently.\n",
+    "-   **Analyze data:** Process thousands of test results to improve\n",
+    "    designs.\n",
+    "-   **Control machines:** Program robots, 3D printers, and CNC’s.\n",
+    "\n",
+    "In this course, you’ll see how computing and programming applies to\n",
+    "mechanical engineering and how they can make you a better problem\n",
+    "solver. By the end, you’ll have the skills and understanding of how to\n",
+    "write programs that help you **think like an engineer in the digital\n",
+    "age.**"
+   ],
+   "id": "307c2389-0504-4970-a463-389bbd313e0e"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/open_source_software.ipynb b/tutorials/module_1/notebook_1/open_source_software.ipynb
new file mode 100644
index 0000000..81b0aa9
--- /dev/null
+++ b/tutorials/module_1/notebook_1/open_source_software.ipynb
@@ -0,0 +1,76 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Open Source Software\n",
+    "\n",
+    "Open-source software (OSS) is a type of software that allows users to\n",
+    "access, modify, and distribute its source code freely. It is built on\n",
+    "principles of collaboration, transparency, and community-driven\n",
+    "development.\n",
+    "\n",
+    "You’ve probably heard of the saying “Don’t reinventing the wheel”. This\n",
+    "\n",
+    "### Key Principles of Open Source Software\n",
+    "\n",
+    "-   **Free Distribution:** Anyone can download and use the software\n",
+    "    without cost.\n",
+    "-   **Access to Source Code:** Users can view and modify the code to\n",
+    "    suit their needs.\n",
+    "-   **Community Collaboration:** Developers from around the world\n",
+    "    contribute to improvements and security fixes.\n",
+    "\n",
+    "### Benefits of Open Source Software\n",
+    "\n",
+    "-   **Cost-effectiveness:** Open-source software is free to use, making\n",
+    "    it accessible to individuals and organizations.\n",
+    "-   **Transparency and Security:** Open code allows for peer review,\n",
+    "    reducing security vulnerabilities.\n",
+    "-   **Community Support:** Global developer communities provide\n",
+    "    assistance, troubleshooting, and improvements.\n",
+    "-   **Customization and Flexibility:** Users can modify software to fit\n",
+    "    their specific requirements.\n",
+    "\n",
+    "### Challenges of Open Source Software\n",
+    "\n",
+    "-   **Usability Issues:** Some open-source software may have a steeper\n",
+    "    learning curve.\n",
+    "-   **Compatibility Problems:** Integration with proprietary systems may\n",
+    "    require additional effort.\n",
+    "-   **Support and Documentation:** The quality of documentation and\n",
+    "    support varies.\n",
+    "-   **Sustainability:** Open-source projects often rely on volunteers,\n",
+    "    which can lead to inconsistent updates.\n",
+    "\n",
+    "### Popular Open Source Projects\n",
+    "\n",
+    "-   **Operating Systems:** Linux, Ubuntu\n",
+    "-   **Web Browsers:** Mozilla Firefox\n",
+    "-   **Programming Languages:** Python, JavaScript\n",
+    "-   **Office Suites:** LibreOffice\n",
+    "-   **Multimedia Tools:** Audacity, Blender\n",
+    "-   **Software Development:** Git, GitHub, Apache\n",
+    "\n",
+    "### How to Contribute to Open Source\n",
+    "\n",
+    "-   **Finding Projects:** Platforms like GitHub, GitLab, and SourceForge\n",
+    "    host many open-source projects.\n",
+    "-   **Understanding Licensing:** Common licenses include GPL, MIT, and\n",
+    "    Apache.\n",
+    "-   **Ways to Contribute:** Developers can contribute code, test\n",
+    "    software, write documentation, translate, or help with design.\n",
+    "-   **Best Practices for Contributions:** Using version control (Git),\n",
+    "    writing clean code, and following community guidelines are essential\n",
+    "    for successful collaboration.\n",
+    "\n",
+    "## Licensing"
+   ],
+   "id": "0a333901-0ef4-42bc-8d74-58812a498ba8"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_1/notebook_1/spyder_getting_started.ipynb b/tutorials/module_1/notebook_1/spyder_getting_started.ipynb
new file mode 100644
index 0000000..aa9edce
--- /dev/null
+++ b/tutorials/module_1/notebook_1/spyder_getting_started.ipynb
@@ -0,0 +1,104 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Getting started with Spyder\n",
+    "\n",
+    "In this tutorial we will cover the basics of using the Spyder IDE\n",
+    "(Interactive Development Environment). If you’ve ever worked with MATLAB\n",
+    "before, then this will feel familiar. Spyder is a program that allows\n",
+    "you to write, run and de-bug code.\n",
+    "\n",
+    "## Launching Spyder\n",
+    "\n",
+    "Using Anaconda we will select the environment we created earlier\n",
+    "*spyder-dev* and then we can launch spyder from the Home page.\n",
+    "\n",
+    "## Spyder Interface\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"https://docs.spyder-ide.org/current/_images/mainwindow_default_1610.png\"\n",
+    "alt=\"Spyder Interface\" />\n",
+    "<figcaption aria-hidden=\"true\">Spyder Interface</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "Once you open up Spyder in it’s default configuration, you’ll see three\n",
+    "sections; the editor IPython Console, Help viewer. You can customize the\n",
+    "interface to suit your prefference and needs some of which include,\n",
+    "rearrange, undock, hide panes. Feel free to set up Spyder as you like.\n",
+    "\n",
+    "### Editor\n",
+    "\n",
+    "This pane is used to write your scripts. The\n",
+    "\n",
+    "<figure>\n",
+    "<img src=\"https://docs.spyder-ide.org/5/_images/editor-components.png\"\n",
+    "alt=\"Editor key components\" />\n",
+    "<figcaption aria-hidden=\"true\">Editor key components</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "1.  The left sidebar shows line numbers and displays any code analysis\n",
+    "    warnings that exist in the current file. Clicking a line number\n",
+    "    selects the text on that line, and clicking to the right of it sets\n",
+    "    a\n",
+    "    [breakpoint](https://docs.spyder-ide.org/5/panes/debugging.html#debugging-breakpoints).\n",
+    "2.  The scrollbars allow vertical and horizontal navigation in a file.\n",
+    "3.  The context (right-click) menu displays actions relevant to whatever\n",
+    "    was clicked.\n",
+    "4.  The options menu (“Hamburger” icon at top right) includes useful\n",
+    "    settings and actions relevant to the Editor.\n",
+    "5.  The location bar at the top of the Editor pane shows the full path\n",
+    "    of the current file.\n",
+    "6.  The tab bar displays the names of all opened files. It also has a\n",
+    "    Browse tabs button (at left) to show every open tab and switch\n",
+    "    between them—which comes in handy if many are open.\n",
+    "\n",
+    "### IPython Console\n",
+    "\n",
+    "This pane allows you to interactively run functions, do math\n",
+    "computations, assign and modify variables.\n",
+    "\n",
+    "<figure>\n",
+    "<img src=\"https://docs.spyder-ide.org/5/_images/console-standard.png\"\n",
+    "alt=\"IPython Console\" />\n",
+    "<figcaption aria-hidden=\"true\">IPython Console</figcaption>\n",
+    "</figure>\n",
+    "\n",
+    "-   Automatic code completion\n",
+    "-   Real-time function calltips\n",
+    "-   Full GUI integration with the enhanced Spyder\n",
+    "    [Debugger](https://docs.spyder-ide.org/5/panes/debugging.html).\n",
+    "-   The [Variable\n",
+    "    Explorer](https://docs.spyder-ide.org/5/panes/variableexplorer.html),\n",
+    "    with GUI-based editors for many built-in and third-party Python\n",
+    "    objects.\n",
+    "-   Display of Matplotlib graphics in Spyder’s\n",
+    "    [Plots](https://docs.spyder-ide.org/5/panes/plots.html) pane, if the\n",
+    "    Inline backend is selected under Preferences ‣ IPython console ‣\n",
+    "    Graphics ‣ Graphics backend, and inline in the console if Mute\n",
+    "    inline plotting is unchecked under the Plots pane’s options menu.\n",
+    "\n",
+    "### Variable Explorer\n",
+    "\n",
+    "This pane shows all the defined variables (objects) stored. This can be\n",
+    "used to identify the data type of variables, the size and inspect larger\n",
+    "arrays. Double clicking the value cell opens up a window which allowing\n",
+    "you to inspect the data in a spreadsheet like view.\n",
+    "\n",
+    "<figure>\n",
+    "<img\n",
+    "src=\"https://docs.spyder-ide.org/5/_images/variable-explorer-standard.png\"\n",
+    "alt=\"Variable Explorer\" />\n",
+    "<figcaption aria-hidden=\"true\">Variable Explorer</figcaption>\n",
+    "</figure>"
+   ],
+   "id": "f2de8d6b-7248-4687-81eb-a382f5554810"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_2/notebook_2/ai_assisted_programming.ipynb b/tutorials/module_2/notebook_2/ai_assisted_programming.ipynb
new file mode 100644
index 0000000..8004e91
--- /dev/null
+++ b/tutorials/module_2/notebook_2/ai_assisted_programming.ipynb
@@ -0,0 +1,73 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# AI Assisted Programming\n",
+    "\n",
+    "## What is it?\n",
+    "\n",
+    "Artificial Intelligence (AI) has been around for a long time. However,\n",
+    "not until recently did engineers make it easy and “fun” to work with. By\n",
+    "now you probably have a pretty good idea of what AI can do. However, you\n",
+    "may not have used an AI assistant before. As the name suggests, an AI\n",
+    "assistant can help you develop code, speed up your writing with code\n",
+    "suggestions and allows you to focus on solving the problem at hand\n",
+    "rather. AI is a technology that is constantly improving. As engineers we\n",
+    "need to *understand* how we can use AI as a tool to achieve our goals\n",
+    "more efficiently. This section cover good practices of how we can\n",
+    "implement AI and lists some AI assistant tools that we can use. \\## Good\n",
+    "vs. Bad uses of AI Don’t try to get AI to do work *for you* but *with\n",
+    "you*. You need to understand what you’re doing. If you don’t understand\n",
+    "what the AI is doing, then you’re not in control of the work. You’re not\n",
+    "going to go far until something unexpected happens.\n",
+    "\n",
+    "AI is a great learning tool, research as show that students can benefit\n",
+    "from using AI as personal tutor\n",
+    "[more](https://hbsp.harvard.edu/inspiring-minds/ai-as-personal-tutor).\n",
+    "\\## Available tools Below is a comprehensive list of tools that are\n",
+    "available at not cost to you.\n",
+    "\n",
+    "| Name           | Features                                           |\n",
+    "|----------------|----------------------------------------------------|\n",
+    "| GitHub Copilot | Paid, but free for students. Integrated in GitHub. |\n",
+    "| ChatGPT        | Free, optional paid upgrade                        |\n",
+    "| Grok           | Free, optional paid upgrade                        |\n",
+    "| Gemini         | Free, optional paid upgrade                        |\n",
+    "| GPT4ALL        | Free and Open-Source                               |\n",
+    "| Code GPT       | Free and Open-Source                               |\n",
+    "| Cody           | Free and Open-Source                               |\n",
+    "| DataLab AI     | Free                                               |\n",
+    "| Codeium        | Free                                               |\n",
+    "| aiXcoder       | Free                                               |\n",
+    "\n",
+    "Many of the tools above come with similar, if not, the same features.\n",
+    "Some of the tools come as chatbots on the web and others are extensions\n",
+    "that can be implemented in your favorite IDE. \\## VSCode and GitHub\n",
+    "Copilot Integration We will not cover how to use VSCode in this course,\n",
+    "however it is a very versatile IDE that comes with many other extension,\n",
+    "for example git, github and github copilot integration. There are also\n",
+    "other extensions for other IDE’s however we will only cover some basic\n",
+    "features that the GithHub Copilot extension in VSCode can do.\n",
+    "\n",
+    "Copilot Comes with the following features: - Get code suggestions as you\n",
+    "type - Ask questions about the code - Inline chat to generate code. -\n",
+    "Fix and debug code using the chat window - Generate code documentation\n",
+    "\n",
+    "[VSCode](https://code.visualstudio.com/) [Copilot\n",
+    "extension](https://code.visualstudio.com/docs/copilot/setup-simplified)\n",
+    "\\## A note on integrity If you have a non-disclosure-agreement (NDA)\n",
+    "with your employer, it may not always be possible to use AI for security\n",
+    "and integrity reasons as you may risk exposing confidential information\n",
+    "with third party vendors. It is highly recommended to be able to be able\n",
+    "to write program independently of an AI assistant. Always think before\n",
+    "you share data."
+   ],
+   "id": "f3d320bf-c2f6-4ebb-a5c5-6dc1dc2bb4b0"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_2/notebook_2/debugging_code.ipynb b/tutorials/module_2/notebook_2/debugging_code.ipynb
new file mode 100644
index 0000000..3bf0cd3
--- /dev/null
+++ b/tutorials/module_2/notebook_2/debugging_code.ipynb
@@ -0,0 +1,138 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Debugging Code\n",
+    "\n",
+    "## Introduction\n",
+    "\n",
+    "Have you ever had a piece of code not work the way you expected? What\n",
+    "did you do? You may have, asked a friend or used an AI assistant. In\n",
+    "this section, the following concepts are introduced - definition of a\n",
+    "bug, common types of bugs and debugging techniques.\n",
+    "\n",
+    "A *software bug* is an unintentional mistake or defect with a program,\n",
+    "this comes either from when the programmer makes a mistake in writing\n",
+    "the code or the code works in a way which has consequences that were not\n",
+    "foreseen by the programmer. Debugging is the act removing the bugs in\n",
+    "the software. Debugging is a normal part of programming that even\n",
+    "experiences developers spend a lot of time on.\n",
+    "\n",
+    "## Types of Bugs\n",
+    "\n",
+    "When writing code you are guaranteed to have bugs in your code. These\n",
+    "bugs can be categorized in the following three groups.\n",
+    "\n",
+    "-   **Syntax errors** - this type of error occurs when the code fails\n",
+    "    due to missing colons, missing indentation or a typo in code - some\n",
+    "    languages like python are case sensitive meaning that the a capital\n",
+    "    letter are different symbols.\n",
+    "-   **Runtime errors** - e.g., dividing by zero or file not found.\n",
+    "-   **Logical errors** - this may be the most dangerous that we need to\n",
+    "    be careful with because this error can occur without any error\n",
+    "    messages but it gives you the wrong result.\n",
+    "\n",
+    "## Debugging Techniques\n",
+    "\n",
+    "#### Print Debugging\n",
+    "\n",
+    "Insert print statements to check values of variables throughout the\n",
+    "program.\n",
+    "\n",
+    "``` python\n",
+    "def add(x, y):\n",
+    "    print(f\"x = {x}, y = {y}\")\n",
+    "    return x + y\n",
+    "```\n",
+    "\n",
+    "In the example above the print statement gives us feedback on what the\n",
+    "code is doing. The function in this example is obviously very simple,\n",
+    "but when we start applying more complex equations or function then\n",
+    "checking to see if the input variables are correct can indicate whether\n",
+    "there is an issue lies within the `add()` function or if the function is\n",
+    "given an incorrect input.\n",
+    "\n",
+    "#### Rubber Duck Debugging\n",
+    "\n",
+    "This is a technique by which you explaining your code line by line in\n",
+    "natural language to someone else, yourself or an inanimate object like a\n",
+    "rubber duck. This can help you spot your mistake in the code.\n",
+    "\n",
+    "#### Commenting Out Code\n",
+    "\n",
+    "Using comments to temporarily suppress parts of your code help you\n",
+    "isolate and find the bug.\n",
+    "\n",
+    "#### IDE Debugging tools\n",
+    "\n",
+    "Depending if you use an IDE, they often come with some sort of debugging\n",
+    "tools such as breakpoints, step into/over and variables explorers.\n",
+    "\n",
+    "#### AI Chat\n",
+    "\n",
+    "AI chat bots can help you find typo or fix logic in your code. You may\n",
+    "find yourself going through the steps above when using an AI assistant\n",
+    "to help you debug the code. However *never* assume that the code AI\n",
+    "gives you works the way you intend it to work.\n",
+    "\n",
+    "## Interactive Debugging Activity\n",
+    "\n",
+    "In the following code snippets, debug the code and document the\n",
+    "following: - What the bug is - How you found it (technique used) - What\n",
+    "actions you took to fix the bug\n",
+    "\n",
+    "#### Code 1\n",
+    "\n",
+    "``` python\n",
+    "def greet(name)\n",
+    "    print(\"Hello, \" + Name)\n",
+    "greet(\"John\")\n",
+    "```\n",
+    "\n",
+    "#### Code 2\n",
+    "\n",
+    "``` python\n",
+    "import numpy as np\n",
+    "\n",
+    "x = np.linspace(0,5,100)\n",
+    "y = 1/x\n",
+    "\n",
+    "print(\"Result:\", y[0])\n",
+    "```\n",
+    "\n",
+    "#### Code 3\n",
+    "\n",
+    "``` python\n",
+    "def f(x):\n",
+    "    return x**2 - 4  # Root at x = ±2\n",
+    "\n",
+    "def bisection(a, b, tol=1e-5, max_iter=100):\n",
+    "    if f(a) * f(b) >= 0:\n",
+    "        print(\"Bisection method fails. f(a) and f(b) should have opposite signs.\")\n",
+    "        return None\n",
+    "\n",
+    "    for i in range(max_iter):\n",
+    "        c = (a + b) / 2\n",
+    "        if abs(f(c)) < tol:\n",
+    "            return c\n",
+    "        elif f(c) * f(b) < 0:\n",
+    "            a = c\n",
+    "        else:\n",
+    "            b = c\n",
+    "    return (a + b) / 2\n",
+    "```\n",
+    "\n",
+    "## Reflection\n",
+    "\n",
+    "-   What was the most challenging bug you found?\n",
+    "-   What debugging method did you find most useful?"
+   ],
+   "id": "2949265c-5700-4fda-b785-ca5d7e913aa5"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_2/notebook_2/intro_to_numerical_methods.ipynb b/tutorials/module_2/notebook_2/intro_to_numerical_methods.ipynb
new file mode 100644
index 0000000..eb45ad7
--- /dev/null
+++ b/tutorials/module_2/notebook_2/intro_to_numerical_methods.ipynb
@@ -0,0 +1,53 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Numerical Methods\n",
+    "\n",
+    "Engineering\n",
+    "\n",
+    "## What is a numerical method?\n",
+    "\n",
+    "Numerical methods are techniques that transform mathematical problems\n",
+    "into forms that can be solved using arithmetic and logical operations.\n",
+    "Because digital computers excel at these computations, numerical methods\n",
+    "are often referred to as computer mathematics.\n",
+    "\n",
+    "## Numerical Differentiation\n",
+    "\n",
+    "Forwards difference Backwards difference\n",
+    "\n",
+    "[Read\n",
+    "More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter20.00-Numerical-Differentiation.html)\n",
+    "\n",
+    "## Roots and Optimization\n",
+    "\n",
+    "Incremental Search Bisection Modified Secant Newton-Raphson\n",
+    "\n",
+    "## Numerical Integration\n",
+    "\n",
+    "Trapezoidal\n",
+    "\n",
+    "Simpson’s Rule\n",
+    "\n",
+    "[Read\n",
+    "More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter21.00-Numerical-Integration.html)\n",
+    "\n",
+    "## Numerical Solutions of Ordinary Differential Equations\n",
+    "\n",
+    "Euler’s Method - Forward - Backwards\n",
+    "\n",
+    "Runge-Kutta Method\n",
+    "\n",
+    "[Read\n",
+    "More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html)"
+   ],
+   "id": "47b4ca7c-5bc4-4436-9ecd-ab541d2a2bcc"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_2/notebook_2/version_control.ipynb b/tutorials/module_2/notebook_2/version_control.ipynb
new file mode 100644
index 0000000..df3aa5a
--- /dev/null
+++ b/tutorials/module_2/notebook_2/version_control.ipynb
@@ -0,0 +1,183 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1e82f8c5-1fb7-4e4d-b20c-c0be1e1e9f5b",
+   "metadata": {},
+   "source": [
+    "# Version Control Software\n",
+    "\n",
+    "## What is Version Control\n",
+    "\n",
+    "Version control is a system that tracks changes to files, enabling\n",
+    "developers to collaborate, manage code history, and revert to previous\n",
+    "versions when needed. The most used version control software (VCS) is\n",
+    "git. In this course git is the VCS we will be using.\n",
+    "\n",
+    "In the open-source community VCS is the - Tracks changes and history. -\n",
+    "Enables collaboration among developers. - Reduces errors by managing\n",
+    "code versions. - Supports branching and merging for parallel\n",
+    "development.\n",
+    "\n",
+    "In this section is divided up into two major sections. The first section\n",
+    "*Git* will cover the basics of how to create backups of your project.\n",
+    "The second section will cover how to use git with GitHub to\n",
+    "*collaborate* on projects.\n",
+    "\n",
+    "------------------------------------------------------------------------\n",
+    "\n",
+    "## Git\n",
+    "\n",
+    "Git is a version control program that tracks changes to files and\n",
+    "directories using snapshots. It is a distributed version control system,\n",
+    "meaning that each developer has a complete copy of the repository on\n",
+    "their local computer. Git is the most widely used version control system\n",
+    "and is popular among developers for its speed, flexibility, and\n",
+    "efficiency.\n",
+    "\n",
+    "### The Three States\n",
+    "\n",
+    "Pay attention now — here is the main thing to remember about Git if you\n",
+    "want the rest of your learning process to go smoothly. Git has three\n",
+    "main states that your files can reside in: modified, staged, and\n",
+    "committed:\n",
+    "\n",
+    "-   **Modified** means that you have changed the file but have not\n",
+    "    committed it to your database yet.\n",
+    "-   **Staged** means that you have marked a modified file in its current\n",
+    "    version to go into your next commit snapshot.\n",
+    "-   **Committed** means that the data is safely stored in your local\n",
+    "    database.\n",
+    "\n",
+    "This leads us to the three main sections of a Git project: the working\n",
+    "tree, the staging area, and the Git directory.\n",
+    "\n",
+    "![Pro Git: Figure 6.](https://git-scm.com/book/en/v2/images/areas.png)\n",
+    "\\### Branching In git, branches allow for parallel workflow on a\n",
+    "project. It give contributors the ability to work different features at\n",
+    "the same time. Each branch represents an independent line of\n",
+    "development, and once a feature or fix is complete, it can be merged\n",
+    "back into the main branch. Here is a common branching structure used in\n",
+    "many Git projects: - Main Branch - The main branch (a.k.a. master\n",
+    "branch) is the default branch in a Git repository and contains the\n",
+    "stable version of the code. - Development Branch - is created to develop\n",
+    "a new feature or fix a bug without affecting the main branch. It isn’t\n",
+    "necessarily always stable, but whenever it gets to a stable state, it\n",
+    "can be merged into master. - Topic Branch - A topic branch is a\n",
+    "short-lived branch that you create and use for a single particular\n",
+    "feature or related work. ![Figure 27. A “Silo” view of\n",
+    "progressive-stability\n",
+    "branching](https://git-scm.com/book/en/v2/images/lr-branches-2.png) \\###\n",
+    "Best Practices - Use descriptive commit messages. - Commit early and\n",
+    "often. - Keep commits focused on a single change. - Use feature branches\n",
+    "for new features or bug fixes. - Review and test changes before\n",
+    "merging. - Resolve conflicts promptly. - Keep the commit history clean\n",
+    "and organized.\n",
+    "\n",
+    "### Basic Commands\n",
+    "\n",
+    "Here is a list of some git commands to get you started. \\#### Starting\n",
+    "your repository - `git init` - Initialize a new Git repository. -\n",
+    "`git clone` - Clone an existing repository. \\#### Committing -\n",
+    "`git status` - Check the status of the repository. - `git add` - Add\n",
+    "files to the staging area. - `git commit` - Commit changes to the\n",
+    "repository. \\#### Branching - `git branch` - List, create, or delete\n",
+    "branches. - `git checkout` - Switch between branches. \\####\n",
+    "History/Inspection - `git log` - View the commit history. \\####\n",
+    "Collaborative - `git fetch` - Fetches updates from a remote but does not\n",
+    "merge. - `git merge` - Merge changes from a named commit to the current\n",
+    "branch. - `git pull` - Fetch and merge changes from a remote\n",
+    "repository. - `git push` - Push changes to a remote repository.\n",
+    "\n",
+    "### More on git\n",
+    "\n",
+    "Interested in learning more about git? Here’s a free book that teaches\n",
+    "you everything about git and how to use it at a professional level.\n",
+    "Available as both HTML and PDF download: [Git\n",
+    "Pro](https://git-scm.com/book/en/v2).\n",
+    "\n",
+    "## GitHub - The collaborative platform\n",
+    "\n",
+    "GitHub is a web-based platform that hosts Git repositories and provides\n",
+    "collaboration tools for developers. It allows developers to share code,\n",
+    "track issues, and collaborate on projects with other developers. GitHub\n",
+    "is widely used for open-source projects, team collaboration, and code\n",
+    "hosting. \\### GitHub Features - Remote Repository Hosting - GitHub\n",
+    "allows you to host projects and code remotely on their servers. -\n",
+    "Issues - Issues are used to track bugs, feature - Pull Requests -\n",
+    "Internal request system for contributors to request code to be pulled.\n",
+    "\\### Workflow Depending on the size of the project and whether the\n",
+    "project is closed- or open-source, the workflow of the project will\n",
+    "differ. In this section we cover some git workflow models and the model\n",
+    "you’re going to be using for this course.\n",
+    "\n",
+    "**Centralized**: The project has only one central hub or *repository*,\n",
+    "can accept code and everybody synchronizes their work with it. This\n",
+    "model is suitable for small and closed-sourced projects. ![Centralized\n",
+    "Workflow](https://git-scm.com/book/en/v2/images/centralized_workflow.png)\n",
+    "\n",
+    "**Integration-Manager:** There are multiple public variants of the code\n",
+    "original code known as *forks*. The integration manager can decide what\n",
+    "features to pull from the forks. This is the model that is similar to\n",
+    "the one used on GitHub ![Integration-Manager\n",
+    "Workfow](https://git-scm.com/book/en/v2/images/integration-manager.png)\n",
+    "\n",
+    "**Dictator and Lieutenants Workflow:** This is similar to the\n",
+    "integration-manager model, however due to the size of the project. A\n",
+    "rank of integration managers is formed. one example of this is the\n",
+    "development of the Linux kernel. ![Dictator and Lieutenants\n",
+    "Workflow](https://git-scm.com/book/en/v2/images/benevolent-dictator.png)\n",
+    "\n",
+    "GitHub is designed around a particular collaboration workflow, centered\n",
+    "on Pull Requests. This flow works whether you’re collaborating with a\n",
+    "tightly-knit team in a single shared repository, or a\n",
+    "globally-distributed company or network of strangers contributing to a\n",
+    "project through dozens of forks. It is centered on the Topic Branches\n",
+    "workflow covered in Git Branching.\n",
+    "\n",
+    "Here’s how it generally works: 1. Fork the project. 2. Create a topic\n",
+    "branch from master. 3. Make some commits to improve the project. 4. Push\n",
+    "this branch to your GitHub project. 5. Open a Pull Request on GitHub. 6.\n",
+    "Discuss, and optionally continue committing. 7. The project owner merges\n",
+    "or closes the Pull Request. 8. Sync the updated master back to your\n",
+    "fork.\n",
+    "\n",
+    "### Terms\n",
+    "\n",
+    "-   Pull Request - A *pull request* is a request to merge changes from a\n",
+    "    feature branch into the main branch or from a forked repository to\n",
+    "    the original or “upstream” repository.\n",
+    "-   Merge - A *merge* combines the changes from one branch into another\n",
+    "    branch.\n",
+    "-   Conflict - A *conflict* occurs when Git cannot automatically merge\n",
+    "    changes and requires manual intervention.\n",
+    "\n",
+    "### Code resource - Using GitHub to re-use existing code.\n",
+    "\n",
+    "In your engineering career, you will most likely use a computation\n",
+    "method that has been come up with before. In such scenarios, open-source"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tutorials/module_3/notebook_3/non_linear_eqn_solver.ipynb b/tutorials/module_3/notebook_3/non_linear_eqn_solver.ipynb
new file mode 100644
index 0000000..5d68cff
--- /dev/null
+++ b/tutorials/module_3/notebook_3/non_linear_eqn_solver.ipynb
@@ -0,0 +1,130 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Solving non-linear equations\n",
+    "\n",
+    "## Introduction\n",
+    "\n",
+    "## Prerequisites\n",
+    "\n",
+    "``` python\n",
+    "import numpy\n",
+    "import scipy\n",
+    "import sympy\n",
+    "```\n",
+    "\n",
+    "## fsolve from SciPy\n",
+    "\n",
+    "``` python\n",
+    "from scipy.optimize import fsolve\n",
+    "\n",
+    "def equations(vars):\n",
+    "    x, y = vars\n",
+    "    eq1 = x**2 + y**2 - 25\n",
+    "    eq2 = x**2 - y\n",
+    "    return [eq1, eq2]\n",
+    "\n",
+    "initial_guess = [1, 1]\n",
+    "solution = fsolve(equations, initial_guess)\n",
+    "print(\"Solution:\", solution)\n",
+    "```\n",
+    "\n",
+    "## root from SciPy\n",
+    "\n",
+    "``` python\n",
+    "from scipy.optimize import root\n",
+    "\n",
+    "def equations(vars):\n",
+    "    x, y = vars\n",
+    "    eq1 = x**2 + y**2 - 25\n",
+    "    eq2 = x**2 - y\n",
+    "    return [eq1, eq2]\n",
+    "\n",
+    "initial_guess = [1, 1]\n",
+    "solution = root(equations, initial_guess)\n",
+    "print(\"Solution:\", solution.x)\n",
+    "```\n",
+    "\n",
+    "## minimize from SciPy\n",
+    "\n",
+    "``` python\n",
+    "from scipy.optimize import minimize\n",
+    "\n",
+    "# Define the equations\n",
+    "def equation1(x, y):\n",
+    "    return x**2 + y**2 - 25\n",
+    "\n",
+    "def equation2(x, y):\n",
+    "    return x**2 - y\n",
+    "\n",
+    "# Define the objective function for optimization\n",
+    "def objective(xy):\n",
+    "    x, y = xy\n",
+    "    return equation1(x, y)**2 + equation2(x, y)**2\n",
+    "\n",
+    "# Initial guess\n",
+    "initial_guess = [1, 1]\n",
+    "\n",
+    "# Perform optimization\n",
+    "result = minimize(objective, initial_guess)\n",
+    "solution_optimization = result.x\n",
+    "\n",
+    "print(\"Optimization Method Solution:\", solution_optimization)\n",
+    "```\n",
+    "\n",
+    "## nsolve from SymPy\n",
+    "\n",
+    "``` python\n",
+    "from sympy import symbols, Eq, nsolve\n",
+    "\n",
+    "# Define the variables\n",
+    "x, y = symbols('x y')\n",
+    "\n",
+    "# Define the equations\n",
+    "eq1 = Eq(x**2 + y**2, 25)\n",
+    "eq2 = Eq(x - y, 0)\n",
+    "\n",
+    "# Initial guess for the solution\n",
+    "initial_guess = [1, 1]\n",
+    "\n",
+    "# Use nsolve to find the solution\n",
+    "solution = nsolve([eq1, eq2], [x, y], initial_guess)\n",
+    "print(\"Solution:\", solution)\n",
+    "```\n",
+    "\n",
+    "## newton_method from NumPy\n",
+    "\n",
+    "``` python\n",
+    "import numpy as np\n",
+    "\n",
+    "def equations(vars):\n",
+    "    x, y = vars\n",
+    "    eq1 = x**2 + y**2 - 25\n",
+    "    eq2 = x**2 - y\n",
+    "    return np.array([eq1, eq2])\n",
+    "\n",
+    "def newton_method(initial_guess, tolerance=1e-6, max_iter=100):\n",
+    "    vars = np.array(initial_guess, dtype=float)\n",
+    "    for _ in range(max_iter):\n",
+    "        J = np.array([[2 * vars[0], 2 * vars[1]], [2 * vars[0], -1]])\n",
+    "        F = equations(vars)\n",
+    "        delta = np.linalg.solve(J, -F)\n",
+    "        vars += delta\n",
+    "        if np.linalg.norm(delta) < tolerance:\n",
+    "            return vars\n",
+    "\n",
+    "initial_guess = [1, 1]\n",
+    "solution = newton_method(initial_guess)\n",
+    "print(\"Solution:\", solution)\n",
+    "```"
+   ],
+   "id": "bc920a9c-8e0c-41dc-ab36-cf3f81515dd5"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_3/notebook_3/supersonic.ipynb b/tutorials/module_3/notebook_3/supersonic.ipynb
new file mode 100644
index 0000000..af78e75
--- /dev/null
+++ b/tutorials/module_3/notebook_3/supersonic.ipynb
@@ -0,0 +1,15 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Supersonic"
+   ],
+   "id": "25de80df-3331-45ed-b288-f17d40bce45f"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_3/notebook_3/system_of_equations.ipynb b/tutorials/module_3/notebook_3/system_of_equations.ipynb
new file mode 100644
index 0000000..20ef9f5
--- /dev/null
+++ b/tutorials/module_3/notebook_3/system_of_equations.ipynb
@@ -0,0 +1,15 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# System of Equations"
+   ],
+   "id": "cc610e14-31e7-459d-81e1-0016e8c06fcd"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/linear_regression.md b/tutorials/module_4/linear_regression.md
index b21415b..b21415b 100644
--- a/tutorials/linear_regression.md
+++ b/tutorials/module_4/linear_regression.md
diff --git a/tutorials/module_4/notebook_4/plotting.ipynb b/tutorials/module_4/notebook_4/plotting.ipynb
new file mode 100644
index 0000000..650daad
--- /dev/null
+++ b/tutorials/module_4/notebook_4/plotting.ipynb
@@ -0,0 +1,17 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plotting\n",
+    "\n",
+    "## matlibplot"
+   ],
+   "id": "c1faa4f4-55cb-4e59-a732-bada47ed2a19"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_4/plotting.md b/tutorials/module_4/plotting.md
new file mode 100644
index 0000000..b309e2f
--- /dev/null
+++ b/tutorials/module_4/plotting.md
@@ -0,0 +1,3 @@
+# Plotting
+
+## matlibplot