To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer.
 

Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting-and lucrative!-careers in some of today’s hottest programming fields.
 

about the technology

Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code!

about the book

In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications.

Table of contents

1. Learning Math with Code
Part 1: Vectors and Graphics

2. Drawing with 20 Vectors 

3. Ascending to the 30 World 

4. Transforming Vectors and Graphics

5. Computing Transformations with Matrices 

6. Generalizing to Higher Dimensions 

7. Solving Systems of Linear Equations 

Part 2: Calculus and Physical Simulation

8. Understanding Rates of Change 

9. Simulating Moving Objects 

10. Working with Symbolic Expressions 

11. Simulating Force Fields 

12. Optimizing A Physical System 

13. Analyzing Sound Waves with A Fourier Series 

Part 3: Machine Learning Applications

14. Fitting Functions to Data 

15. Classifying Data with Logistic Regression 

16. Training Neural Networks