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1
Basic Arithmetic
2
For Loops and While Loops
3
Numpy Arrays: Matrices and Vectors
4
Creating Uniformly Spaced Grids with "Linspace"
5
Plotting with Matplotlib
6
Solving Linear Systems of Equations, Ax=b
7
Solving Differential Equations
Description:
Dive into a quick and comprehensive introduction to Python for engineering mathematics in this 42-minute video tutorial. Learn essential Python commands frequently used in engineering math applications, covering basic arithmetic, loops, NumPy arrays, creating grids with linspace, plotting with Matplotlib, solving linear systems of equations, and tackling differential equations. Perfect for those new to Python or seeking a refresher before delving into more advanced engineering math concepts. Access accompanying code and additional resources to enhance your learning experience.

Engineering Math Pre-Req - Quick and Dirty Introduction to Python

Steve Brunton
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