Orland P Math for Programmers 3D Graphics, with Python 2020 + Code
Category: eBooks
- views: 100
- date: 3 February 2023
- posted by: BeMyLove
Orland P Math for Programmers 3D Graphics, with Python 2020 + Code | 63.73 MB
English | 1028 Pages
Title: Math for Programmers
Author: Paul Orland
Year: 2020
Description:
"A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox." - Christopher Haupt, New Relic
Explore important mathematical concepts through hands-on coding.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Filled with graphics and more than 300 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.
Summary
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!
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.
Table of Contents
1 Learning math with code
PART I - 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
DOWNLOAD:
https://rapidgator.net/file/91e72beba1380a3c96a409727cfc500a/Orland_P._Math_for_Programmers._3D_Graphics...with_Python_2020___Code.rar
https://uploadgig.com/file/download/df4e70b5F74af329/Orland_P._Math_for_Programmers._3D_Graphics...with_Python_2020_%2B_Code.rar
"A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox." - Christopher Haupt, New Relic
Explore important mathematical concepts through hands-on coding.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Filled with graphics and more than 300 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.
Summary
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!
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.
Table of Contents
1 Learning math with code
PART I - 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
DOWNLOAD:
https://rapidgator.net/file/91e72beba1380a3c96a409727cfc500a/Orland_P._Math_for_Programmers._3D_Graphics...with_Python_2020___Code.rar
https://uploadgig.com/file/download/df4e70b5F74af329/Orland_P._Math_for_Programmers._3D_Graphics...with_Python_2020_%2B_Code.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||