## Book description

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.

**What's Inside**

- Vector geometry for computer graphics
- Matrices and linear transformations
- Core concepts from calculus
- Simulation and optimization
- Image and audio processing
- Machine learning algorithms for regression and classification

**About the Reader**

For programmers with basic skills in algebra.

**About the Author**

**Paul Orland**is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land.

**Quotes**

*A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox.*

- Christopher Haupt, New Relic

*A rigorous yet approachable overview of the mathematics that underpin a number of modern programming domains.*

- Dan Sheikh, BCG Digital Ventures

*Engaging, practical, recommend for all levels.*

- Vincent Zhu, rethinkxsocial.com

*It provides a bridge for programmers who need to brush up on their math skills, and does a nice job of making the math less mysterious and more approachable.*

- Robert Walsh, Excalibur Solutions

## Publisher resources

## Table of contents

- Math for Programmers
- Copyright
- dedication
- contents
- front matter
- 1 Learning math with code
- Part 1. Vectors and graphics
- 2 Drawing with 2D vectors
- 3 Ascending to the 3D 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
- Appendix A. Getting set up with Python
- Appendix B. Python tips and tricks
- Appendix C. Loading and rendering 3D Models with OpenGL and PyGame
- index

## Product information

- Title: Math for Programmers
- Author(s):
- Release date: January 2021
- Publisher(s): Manning Publications
- ISBN: 9781617295355

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