Updated tutorials

6 files changed, 14 insertions, 2 deletions

diff --git a/tutorials/module_1/functions.md b/tutorials/module_1/functions.md
index 54c956d..a3d291d 100644
--- a/tutorials/module_1/functions.md
+++ b/tutorials/module_1/functions.md
@@ -5,6 +5,7 @@ Like a traditional mathematical functions, python functions can take an input, p
 Functions are defined by using the <code> def </code> keyword. Reminder: it is important to keep track of indentations as it signifies the end of the function when the indentation returns back to the same level.
 
 ## Defining Functions
+
 ### Simple function
 A simple function with no input variable can be useful if you need to re-use code multiple times without having to re-write it.
 
@@ -22,6 +23,7 @@ We can pass variables through to the function to be processed as follows:
 ```
 
 Note input variables can be of any data type (integer, float, string, etc.).
+
 ### Returning values from a function
 If we want to calculate a value and pass it back to the script for further use, we can use the `return` keyword. Let's define a linear function that takes two inputs, `x` and `b`, computes the corresponding `y` value, and returns it so it can be used elsewhere in the code.
 
@@ -32,6 +34,7 @@ If we want to calculate a value and pass it back to the script for further use,
 ```
 
 For multiple output variables we can add 
+
 ## Calling functions
 Now that we've covered defining functions we want to call the function in order to execute the block inside the function. To do this, we simply re-call the function name as follows.
 
diff --git a/tutorials/module_1/installing_anaconda.md b/tutorials/module_1/installing_anaconda.md
index c6a434d..62d8f56 100644
--- a/tutorials/module_1/installing_anaconda.md
+++ b/tutorials/module_1/installing_anaconda.md
@@ -1,11 +1,13 @@
 # Installing Anaconda
 
+^57b499
+
 This tutorial will cover the steps on how to install Anaconda. 
 
 *Note for Advanced users: For those who wish to have a lightweight installation, can install miniconda or miniForge, however for this course we will show you how to use Anaconda Navigator. If you've never used the programs before then using Anaconda is recommended.*
 
 ### What is Anaconda?
-Anaconda Distribution is a popular open-source Python distribution specifically designed for scientific computing, data science, machine learning, and artificial intelligence applications. It simplifies the set up and use of Python for data science, machine learning, and scientific computing. It comes with all the important tools you need, like NumPy, Pandas, and JupyterLab, so you don’t have to install everything separately. The Conda package manager helps you install and update software without worrying about breaking other programs. It also lets you create separate environments, so different projects don’t interfere with each other. Additionally, Anaconda includes programs like JupyterLab for interactive coding, and Spyer a MATLAB-like IDE.
+Anaconda Distribution is a popular open-source Python distribution specifically designed for scientific computing, data science, machine learning, and artificial intelligence applications. It simplifies the set up and use of Python for data science, machine learning, and scientific computing. It comes with all the important tools you need, like NumPy, Pandas, and JupyterLab, so you don’t have to install everything separately. The Conda package manager helps you install and update software without worrying about breaking other programs. It also lets you create separate environments, so different projects don’t interfere with each other. Additionally, Anaconda includes programs like JupyterLab for interactive coding, and Spyder a MATLAB-like IDE.
 
 
 ## Instructions
diff --git a/tutorials/module_1/intro_to_anaconda.md b/tutorials/module_1/intro_to_anaconda.md
index 05fe686..f123836 100644
--- a/tutorials/module_1/intro_to_anaconda.md
+++ b/tutorials/module_1/intro_to_anaconda.md
@@ -1,5 +1,7 @@
 # Introduction to Anaconda Navigator
 
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+
 Anaconda Navigator is a program that we will be using in this course to manage Python environments, libraries and launch programs to help us write our python code.
 
 The Anaconda website nicely describes *Navigator* as:
diff --git a/tutorials/module_1/intro_to_programming.md b/tutorials/module_1/intro_to_programming.md
index 2f12a3a..d3e1845 100644
--- a/tutorials/module_1/intro_to_programming.md
+++ b/tutorials/module_1/intro_to_programming.md
@@ -1,4 +1,7 @@
 # Introduction to Programming
+
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 ## The Importance of Programming in Engineering
 
 Engineering is all about solving problems, designing innovative solutions, and making systems work efficiently. Whether you’re designing cars, airplanes, rockets, or even everyday machines, programming plays a critical role in modern engineering.
diff --git a/tutorials/module_1/notebook_1/control_structures.ipynb b/tutorials/module_1/notebook_1/control_structures.ipynb
index dc40faa..4b0f049 100644
--- a/tutorials/module_1/notebook_1/control_structures.ipynb
+++ b/tutorials/module_1/notebook_1/control_structures.ipynb
@@ -369,7 +369,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.13.2"
   }
  },
  "nbformat": 4,
diff --git a/tutorials/module_1/spyder_getting_started.md b/tutorials/module_1/spyder_getting_started.md
index faa5db5..b6a40ee 100644
--- a/tutorials/module_1/spyder_getting_started.md
+++ b/tutorials/module_1/spyder_getting_started.md
@@ -1,5 +1,7 @@
 # Getting started with Spyder
 
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 In this tutorial we will cover the basics of using the Spyder IDE (Interactive Development Environment). If you've ever worked with MATLAB before, then this will feel familiar. Spyder is a program that allows you to write, run and de-bug code.
 
 ## Launching Spyder