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# Resources
This is a list of good learning resources and reference material.
- [w3school](https://www.w3schools.com/python/)
- [Matlab vs Python](https://realpython.com/matlab-vs-python/)
- [MECH 103 Textbook](https://github.com/sbechara/introduction_to_engineering/)
- [GitPro](https://git-scm.com/book/en/v2/)
- [Python: Numerical Methods](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/Index.html)
How computers work
- [terminal, console, shell and kernel](https://www.geeksforgeeks.org/what-is-terminal-console-shell-and-kernel)
Anaconda
- [Documentation](https://docs.anaconda.com/)
- [Environments](https://docs.anaconda.com/navigator/overview/)
- [Managing Packages](https://docs.anaconda.com/navigator/tutorials/manage-packages)
Spyder
- [Documentation](https://docs.spyder-ide.org/)
- [Installation](https://docs.spyder-ide.org/current/installation.html#install-conda-installing)
Carlos Monte
- [Numerical Methods](https://github.com/cmontalvo251/LaTeX/tree/master/Numerical_Methods_Montalvo)
- [GitHub](https://github.com/cmontalvo251)
Object Oriented Programming
- [OOP Basics](https://www.geeksforgeeks.org/introduction-of-object-oriented-programming/)
- [Numpy for MATLAB users](https://numpy.org/doc/2.2/user/numpy-for-matlab-users.html)
V&V
- [Verification](https://www.grc.nasa.gov/www/wind/valid/tutorial/verassess.html)
- [Validation](https://www.grc.nasa.gov/www/wind/valid/tutorial/valassess.html)
MathWorks
- [Data Cleaning](https://www.mathworks.com/discovery/data-cleaning.html)
- [Data Filtering](https://www.mathworks.com/discovery/data-filtering.html)
ODE
- [Paul's Online Notes](https://tutorial.math.lamar.edu/classes/DE/DE.aspx )
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