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authorChristian Kolset <christian.kolset@gmail.com>2025-04-29 19:02:29 -0600
committerChristian Kolset <christian.kolset@gmail.com>2025-04-29 19:02:29 -0600
commiteb2830349fd1892ec68659c22bab73f26255e268 (patch)
treea44991051ad8374f36b8289bf6c45bc4679277cf /tutorials
parentd0f224c34e0a0726274c62e9fe66220af6d2e6cc (diff)
Fixed minor syntax issues with formating of markdown and latex files
Diffstat (limited to 'tutorials')
-rw-r--r--tutorials/module_1/array.md2
-rw-r--r--tutorials/module_1/basics_of_python.md2
-rw-r--r--tutorials/module_1/jupyter_lab_notebook.md2
3 files changed, 6 insertions, 0 deletions
diff --git a/tutorials/module_1/array.md b/tutorials/module_1/array.md
index 9fa1c88..164d53d 100644
--- a/tutorials/module_1/array.md
+++ b/tutorials/module_1/array.md
@@ -15,6 +15,8 @@ A two-dimensional array would be like a table:
A three-dimensional array would be like a set of tables, perhaps stacked as though they were printed on separate pages. If we visualize the position of each element as a position in space. Then we can represent the value of the element as a property. In other words, if we were to analyze the stress concentration of an aluminum block, the property would be stress.
- From [Numpy documentation](https://numpy.org/doc/2.2/user/absolute_beginners.html)
+
+
![Mathworks 3-D array](figures/multi-dimensional-array.png)
If the load on this block changes over time, then we may want to add a 4th dimension i.e. additional sets of 3-D arrays for each time increment. As you can see - the more dimensions we add, the more complicated of a problem we have to solve. It is possible to increase the number of dimensions to the n-th order. This course we will not be going beyond dimensional analysis.
diff --git a/tutorials/module_1/basics_of_python.md b/tutorials/module_1/basics_of_python.md
index 7654e92..0df9296 100644
--- a/tutorials/module_1/basics_of_python.md
+++ b/tutorials/module_1/basics_of_python.md
@@ -5,12 +5,14 @@ This page contains important fundamental concepts used in Python such as syntax,
## Syntax
### Indentations and blocks
In python *indentations* or the space at the start of each line, signifies a block of code. This becomes important when we start working with function and loops. We will talk more about this in the controls structures tutorial.
+
### Comments
Comments can be added to your code using the hash operator (#). Any text behind the comment operator till the end of the line will be rendered as a comment.
If you have an entire block of text or code that needs to be commented out, the triple quotation marks (""") can be used. Once used all the code after it will be considered a comment until the comment is ended with the triple quotation marks.f
## Operators
In python, operators are special symbols or keywords that perform operations on values or variables. This section covers some of the most common operator that you will see in this course.
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### Arithmetic operators
| Operator | Name |
| --- | --- |
diff --git a/tutorials/module_1/jupyter_lab_notebook.md b/tutorials/module_1/jupyter_lab_notebook.md
index ab52654..ad5d7b5 100644
--- a/tutorials/module_1/jupyter_lab_notebook.md
+++ b/tutorials/module_1/jupyter_lab_notebook.md
@@ -47,11 +47,13 @@ There are two types of list in
- Numbered lists: `1. item`
### Style
- Emphasis: _italic_, **bold**, `monospace`
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### Mathematical Equation
Markdown supports LaTeX format equations. Inline equation is opened and closed with a single `$`. For a block math a double `$$` is used instead of single.
- Inline: This equation is inline `$E = mc^2$` in with the markdown text.
- Block: Whilst this is a block: `$$\int_0^\infty e^{-x^2} dx = \frac{\sqrt{\pi}}{2}$$`
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### Links and images
You can insert links to a different local file or online urls like this: \[Link](file.md). I insert an image it's the same however start with an exclamation mark `!` like this: !\[Image Caption](picture.png)