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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

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Length 358 pages
Edition 1st Edition
Languages
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Authors (2):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (12) Chapters Close

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

Technical requirements

In this chapter, and throughout this book, we will use Python version 3.8, which is the most recent version of Python at the time of writing. Most of the code in this book will work on recent versions of Python from 3.6. We will use features that were introduced in Python 3.6 at various points, including f-strings. This means that you may need to change python3.8, which appears in any terminal commands to match your version of Python. This might be another version of Python, such as python3.6 or python3.7, or a more general command such as python3 or python. For the latter commands, you need to check that the version of Python is at least 3.6 by using the following command:

          python --version
        

Python has built-in numerical types and basic mathematical functions that suffice for small applications that involve only small calculations. The NumPy package provides a high performance array type and associated routines (including...

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