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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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Technical requirements

In addition to the scientific Python packages NumPy and SciPy, we also need the SymPy package. This can be installed using your favorite package manager, such as pip:

          python3.8 -m pip install sympy

The code for this chapter can be found in theChapter 03 folder of the GitHub repository at https://github.com/PacktPublishing/Applying-Math-with-Python/tree/master/Chapter%2003.

Check out the following video to see the Code in Action: https://bit.ly/32HuH4X.

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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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