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Applying Math with Python

You're reading from Applying Math with Python Practical recipes for solving computational math problems using Python programming and its libraries

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781838989750

Length 358 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Mathematical Programming

Authors (2):

Sam Morley

Sam Morley

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Table of Contents (12) Chapters

Preface

1. Basic Packages, Functions, and Concepts

2. Mathematical Plotting with Matplotlib FREE CHAPTER

3. Calculus and Differential Equations

4. Working with Randomness and Probability

5. Working with Trees and Networks

6. Working with Data and Statistics

7. Regression and Forecasting

8. Geometric Problems

9. Finding Optimal Solutions

10. Miscellaneous Topics

11. Other Books You May Enjoy

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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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Authors (2)

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.

See other products by Morley

Sam Morley

Sam Morley

See other products by Sam Morley

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