Master calculus through clear intuition, rigorous proofs, and hands-on Python implementations.
605 pages of comprehensive calculus coverage, from fundamentals through multivariable calculus and beyond.
This book teaches calculus with a three-pronged approach: geometric intuition, mathematical rigor, and practical Python code. Each concept is developed carefully with proofs, visualizations, and working implementations.
Preview Table of Contents & Chapter 1 | Free sample chapter: Fundamentals of Differentiation
This repository contains all Python code from the book:
- Complete code for all figures and visualizations
- Implementations demonstrating calculus concepts
- Solutions to all exercises
- Interactive examples you can modify and explore
| Format | Link |
|---|---|
| Paperback | Amazon |
| PDF version | Gumroad |
Watch detailed walkthroughs of exercise instructions and Python solutions on YouTube:
Join the Discord server for questions, discussions, and support:
- Single and multivariable differentiation
- Integration techniques and applications
- Sequences, series, and convergence
- Geometric interpretation of calculus concepts
- Computational implementation in Python
Mike X Cohen, PhD - Former neuroscience professor, full-time educator, and Udemy bestselling instructor with 25 years of experience teaching mathematics, machine learning, and data science.
All code in this repository is free to use for learning. The book provides the theory, proofs, and exercises that give the code meaning.