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Applying Math with Python

You're reading from Applying Math with Python Over 70 practical recipes for solving real-world computational math problems

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781804618370

Length 376 pages

Edition 2nd Edition

Languages

Python

Tools

Matplotlib

Concepts

Statistics

Author (1):

Sam Morley

View More author details

Table of Contents (13) Chapters

Preface

1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts

2. Chapter 2: Mathematical Plotting with Matplotlib FREE CHAPTER

3. Chapter 3: Calculus and Differential Equations

4. Chapter 4: Working with Randomness and Probability

5. Chapter 5: Working with Trees and Networks

6. Chapter 6: Working with Data and Statistics

7. Chapter 7: Using Regression and Forecasting

8. Chapter 8: Geometric Problems

9. Chapter 9: Finding Optimal Solutions

10. Chapter 10: Improving Your Productivity

11. Index

Why subscribe?

12. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Accelerated Linear Algebra (XLA) 96

acceptance probabilities 128

accuracy 216

acos function 6

adjacency matrix

generating, for network 146-148

agg method 174

Akaike information criterion (AIC) 225

Amazon Web Services (AWS) S3 storage 318

Analysis of Variance (ANOVA) 164, 191, 192

hypotheses, testing 191, 192

Anti-Grain Geometry (AGG) library 32

arange routine 11

ARIMA class 238, 239

ARMA 225

time series data, modeling 218-225

array creation routines, NumPy 11

arange 11

linspace 11

art gallery problem 264

asin function 6

atan function 6

autocorrelation function (ACF) 219

autocorrelation property 217

Autograd 96

automatic differentiation

with JAX 96-99

autoregressive (AR) component 201

autoregressive integrated...

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Authors (1)

Morley

Morley

Sam Morley is an experienced lecturer in mathematics and a researcher in pure mathematics. He is currently a research software engineer at the University of Oxford working on the DataSig project. He was previously a lecturer in mathematics at the University of East Anglia and Nottingham Trent University. His research interests lie in functional analysis, especially Banach algebras. Sam has a firm commitment to providing high-quality, inclusive, and enjoyable teaching, with the aim of inspiring his students and spreading his enthusiasm for mathematics.

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