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Applying Math with Python - Second Edition

You're reading from  Applying Math with Python - Second Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Pages 376 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley

Table of Contents (13) Chapters

Preface Chapter 1: An Introduction to Basic Packages, Functions, and Concepts Chapter 2: Mathematical Plotting with Matplotlib Chapter 3: Calculus and Differential Equations Chapter 4: Working with Randomness and Probability Chapter 5: Working with Trees and Networks Chapter 6: Working with Data and Statistics Chapter 7: Using Regression and Forecasting Chapter 8: Geometric Problems Chapter 9: Finding Optimal Solutions Chapter 10: Improving Your Productivity Index Other Books You May Enjoy

Further reading

A good, comprehensive reference for probability and random processes is the following book:

  • Grimmett, G. and Stirzaker, D. (2009). Probability and random processes. 3rd ed. Oxford: Oxford Univ. Press.

An easy introduction to Bayes’ theorem and Bayesian statistics is the following:

  • Kurt, W. (2019). Bayesian statistics the fun way. San Francisco, CA: No Starch Press, Inc.
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