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Learn Calculus with Python

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$49.99 US
7"W x 9-1/4"H (17.8 x 23.5 cm) | 13 oz (369 g) | 28 per carton
On sale Aug 04, 2026 | 256 Pages | 9781718504486
Grades 9-12 + AP/IB
Sales rights: World

Pages 56-57
Pages 92-93
Pages 160-161
An intuitive, Python-based introduction to calculus for readers interested in real applications of the math.

Many people take a calculus course and walk away remembering almost nothing—except vague ideas about slopes, curves, and something called a tangent.

Learn Calculus with Python is written for those readers, as well as anyone else with a firm grasp of algebra and trigonometry who is eager to learn the practical math underlying machine learning optimization, signals processing, planetary simulations, and other useful applications.

Rather than teaching calculus as a collection of formulas and procedures, this book uses guided Jupyter Notebooks to introduce concepts like derivatives, integrals, the Fundamental Theorem, and dynamical systems through visualizations and real-world examples.

Designed for curious self-learners, programmers, and students who want to understand what calculus is actually describing, Learn Calculus with Python rebuilds the subject from the inside out— patiently and in context.
Nick McIntyre is an experienced educator who designs learning experiences around clarity, intuition, and curiosity. His background in teaching mathematics, robotics, and computer science informs an approach that treats calculus as something to be explored and understood—not endured.
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Foreword
Acknowledgments
Introduction

Chapter 1: Python Basics
Chapter 2: Drawing with Turtle Graphics
Chapter 3: Functions and Derivatives
Chapter 4: Integrals
Chapter 5: Ordinary Differential Equations and Vectors
Chapter 6: Dynamical Systems
Chapter 7: Linear Algebra with NumPy
Chapter 8: Multivariable Calculus
Chapter 9: Fourier Transforms

Appendix A
Bibliography
Index

Photos

Pages 56-57
Pages 92-93
Pages 160-161

About

An intuitive, Python-based introduction to calculus for readers interested in real applications of the math.

Many people take a calculus course and walk away remembering almost nothing—except vague ideas about slopes, curves, and something called a tangent.

Learn Calculus with Python is written for those readers, as well as anyone else with a firm grasp of algebra and trigonometry who is eager to learn the practical math underlying machine learning optimization, signals processing, planetary simulations, and other useful applications.

Rather than teaching calculus as a collection of formulas and procedures, this book uses guided Jupyter Notebooks to introduce concepts like derivatives, integrals, the Fundamental Theorem, and dynamical systems through visualizations and real-world examples.

Designed for curious self-learners, programmers, and students who want to understand what calculus is actually describing, Learn Calculus with Python rebuilds the subject from the inside out— patiently and in context.

Author

Nick McIntyre is an experienced educator who designs learning experiences around clarity, intuition, and curiosity. His background in teaching mathematics, robotics, and computer science informs an approach that treats calculus as something to be explored and understood—not endured.

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Table of Contents

Foreword
Acknowledgments
Introduction

Chapter 1: Python Basics
Chapter 2: Drawing with Turtle Graphics
Chapter 3: Functions and Derivatives
Chapter 4: Integrals
Chapter 5: Ordinary Differential Equations and Vectors
Chapter 6: Dynamical Systems
Chapter 7: Linear Algebra with NumPy
Chapter 8: Multivariable Calculus
Chapter 9: Fourier Transforms

Appendix A
Bibliography
Index