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README.md

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+# Computational Mechanics 01 - Getting Started
+## Working with Python and Numerical Methods
+
+Welcome to Computational Mechanics Module #1 - Getting Started!
+
+There are three modules to get us started on our exploration of computational
+mechanics using Python, listed below each module are the learning objectives. 
+
+1. [01_Interacting_with_Python](./notebooks/01_Interacting_with_Python.ipynb)
+  * Using the `print()` function. The concept of _function_.
+  * Using Python as a calculator.
+  * Concepts of variable, type, assignment.
+  * Special variables: `True`, `False`, `None`.
+  * Supported operations, logical operations. 
+  * Reading error messages.
+
+2. [02_Working_with_Python](./notebooks/02_Working_with_Python.ipynb)
+  * Good coding habits and file naming
+  * How to define a function and return outputs
+  * How to import libraries
+  * Multidimensional arrays using NumPy
+  * Accessing values and slicing in NumPy arrays
+  * `%%time` magic to time cell execution.
+  * Performance comparison: lists vs NumPy arrays
+  * Basic plotting with `pyplot`.
+
+3. [03-Numerical_error](./notebooks/03-Numerical_error.ipynb)
+  * Numerical integration with the Euler approximation
+  * The source of truncation errors
+  * The source of roundoff errors
+  * How to time a numerical solution or a function
+  * How to compare solutions
+  * The definition of absolute error and relative error
+  * How a numerical solution converges
+