Doing Math with Python
summary
Python 3 examples use the standard library (fractions, statistics) plus sympy and matplotlib to do real math: parsing an arbitrary single‑variable expression and plotting it in three lines, solving algebraic equations, inequalities, limits, derivatives and definite integrals also in about three lines each, and converting symbolic results to floating values with evalf. Live demos use a Jupyter notebook with interact sliders (animated projectile motion), and a small gradient‑descent linear regression built from sympy derivatives; demos generally run locally without internet.
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chapters (17)
- 0:00Introduction
- 0:43About the book
- 1:12Getting the slides and demos
- 2:04Notebook
- 2:16Why Python
- 3:48Tools
- 4:25Math
- 5:12Python as
- 5:39Scientific Calculator
- 12:49Create a Graph
- 14:36Solve Equations
- 15:27Find Limits
- 19:08Can you do more
- 19:18Hit Help
- 21:47Mandelbrot
- 22:27Gradient Descent
- 25:09Questions
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