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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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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

To get the most out of this book

The only requirement throughout this book is a recent version of Python, at least Python 3.6, but a higher version is preferable. Some readers might prefer to use the Anaconda distribution of Python, which comes with many of the packages and tools required in this book. If this is the case, you should use the conda package manager to install the packages. Python is supported on all major operating systems – Windows, macOS, and Linux – and on many platforms. The following table covers the main libraries and their versions used at the time of writing this book:

Software/libraries covered in the book

Version

Chapter

Python

3.6 or higher

All

NumPy

1.18.3

All

SciPy

1.4.1

All

Matplotlib

3.2.1

All

Pandas

1.0.3

6 - 10

Bokeh

2.1.0

6

Scikit-Learn

0.22.1

7

Dask

2.18.1

10

Apache Kafka

2.5.0

10

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Some readers may prefer to work through the code samples in this book in a Jupyter notebook rather than in a simple Python file. There are one or two places in this book where you may need to repeat plotting commands. These places are marked in the instructions.

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