NTJ-Python-Math

This repository contains the notes and codes of the book Doing math with python. Exploring how to use Programming to Explore Algebra, Statistics, Calculus, and More.

The notes contain the modules outlined below:

No.	Module	Gist
1	Work with Numbers	Basic Mathematical Operations Different Kinds of Numbers Get User Input Write Programs That Do the Math for You
2	Visualize Data with Graphs	Understand the Cartesian Coordinate Plane Work with Lists and Tuples Create Graphs with Matplotlib Plot with Formulas
3	Describe Data with Statistics	Mean Median Find the Mode and Creating a Frequency Table Measure the Dispersion Calculate the Correlation Between Two Data Sets Scatter Plots Read Data from Files
4	Algebra and Symbolic Math with SymPy	Define Symbols and Symbolic Operations Work with Expressions Solve Equations Plot Using SymPy
5	Play with Sets and Probability	What’s a Set? Probability
6	Draw Geometric Shapes and Fractals	Geometric Shapes with Matplotlib’s Patches Draw Fractals
7	Solve Calculus Problems	What Is a Function? Assumptions in SymPy The Limit of Functions The Derivative of Functions Higher-Order Derivatives and Finding the Maxima and Minima The Global Maximum Using Gradient Ascent The Integrals of Functions Probability Density Functions
8	Programming Challenges	$