Calculus With Python: Derivatives and Integrals

Welcome to the Calculus With Python project by Mike X Cohen!

This repository contains all the code used in two companion Udemy courses on calculus:

Both courses combine traditional mathematical instruction with hands-on coding in Python. The idea is simple: you can learn a lot of math with a bit of code. By using Python (especially numpy, sympy, and matplotlib), you'll build visualizations, test ideas, and implement core concepts from calculus.

Repository Structure

This repository is organized into two main folders:

`calculus1_derivatives/`

This folder contains all Python code for the Calculus 1: Derivatives course. Topics include:

Python introduction
Functions
Limits and the definition of the derivative
Rules of differentiation (chain, product, quotient)
Higher-order derivatives
Symbolic and numeric differentiation using Python

Course link on self-hosted website

`calculus2_integrals/`

This folder contains all Python code for the Calculus 2: Integrals course. Topics include:

Indefinite and definite integrals
Fundamental theorem of calculus
Riemann and Lebesgue integration
Symbolic and numerical integration
Applications to area, volume, and probability
Multivariable integration and partial integrals

Course link on self-hosted website

About the Courses

These courses are for learners who want to go beyond memorizing formulas — and instead understand calculus by actively exploring it through programming. Whether you're a university student, a data scientist brushing up on math, or a lifelong learner, you'll find something here to sharpen your intuition and build practical skills.

All code is written in Python 3 and designed to be easy to follow, modify, and extend. The code is designed to be run in Python Jupyter notebooks, and I recommend running it on Google Colab.

mikexcohen/calculusWithPython

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