Math for Programmers Audiobook By Paul Orland cover art

Math for Programmers

3D Graphics, Machine Learning, and Simulations with Python

Preview

Try for $0.00
Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.

Math for Programmers

By: Paul Orland
Narrated by: Derek Lettman
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $24.95

Buy for $24.95

Confirm purchase
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
Cancel

About this listen

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 audience:

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.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2020 Manning Publications (P)2021 Manning Publications
Mathematics Programming & Software Development Programming Software Software Development Data Science Machine Learning
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Math for Programmers

Average customer ratings
Overall
  • 4 out of 5 stars
  • 5 Stars
    3
  • 4 Stars
    1
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1
Performance
  • 4 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    1
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0
Story
  • 3 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    1

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    1 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    1 out of 5 stars

Not useful because there are no chapters :(

Would you like to go back to chapter 2 and review 2d vector math? Or perhaps Chapter 5 and matrix math? Perhaps you would like follow along with a hard copy of the book? Well good luck! You get one tiny scroll bar for 13 hours of audio! So much effort went into the production quality of this book, but it's like they didn't even think about how it would be used.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

5 people found this helpful