You're reading from Mastering Python 2E Write powerful and efficient code using the full range of Python's capabilities

Product type Paperback

Published in May 2022

Last Updated in May 2022

Publisher Packt

ISBN-13 9781800207721

Length 710 pages

Edition 2nd Edition

Languages

Python

Tools

Dask

Concepts

Programming Language

Author (1):

Rick Hattem

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Table of Contents (21) Chapters

Preface

1. Getting Started – One Environment per Project FREE CHAPTER

2. Interactive Python Interpreters

3. Pythonic Syntax and Common Pitfalls

4. Pythonic Design Patterns

5. Functional Programming – Readability Versus Brevity

6. Decorators – Enabling Code Reuse by Decorating

7. Generators and Coroutines – Infinity, One Step at a Time

8. Metaclasses – Making Classes (Not Instances) Smarter

9. Documentation – How to Use Sphinx and reStructuredText

10. Testing and Logging – Preparing for Bugs

11. Debugging – Solving the Bugs

12. Performance – Tracking and Reducing Your Memory and CPU Usage

13. asyncio – Multithreading without Threads

14. Multiprocessing – When a Single CPU Core Is Not Enough

15. Scientific Python and Plotting

16. Artificial Intelligence

17. Extensions in C/C++, System Calls, and C/C++ Libraries

18. Packaging – Creating Your Own Libraries or Applications

19. Other Books You May Enjoy

20. Index

Mathematics and precise calculations

Python has a decent number of mathematical functions and features built in, but there are cases where you need more advanced features or something faster. In this section, we will discuss a few libraries that help by introducing many extra mathematical functions and/or increase mathematical precision and/or performance quite a bit.

First, let’s discuss the options in the Python core libraries to store numbers and perform calculations with varying precision:

int: To store whole numbers (e.g. 1, 2, 3), we have the int object in Python. The int is directly translated into a C int64 on most systems as long as it can fit within 64-bit. Outside of that, it is internally cast to a Python long type (not to be confused with a C long), which can be arbitrarily large. This allows for infinite accuracy but only works as long as you use whole numbers.
fractions.Fraction: The Fraction object makes it possible to store fractional numbers...