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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

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Length 376 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (13) Chapters Close

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 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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