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

Functional programming

Functional programming is a paradigm that originates from the lambda calculus (λ-calculus), a formal system in mathematics that can be used to simulate any Turing machine. Without diving too much into the λ-calculus, this means that computation is performed using only the function arguments as input and that the output consists of a new variable without mutating the input variables. With a strictly functional programming language this behavior would be enforced, but since Python is not a strictly functional language, this doesn’t necessarily hold true.

It is still a good idea to adhere to this paradigm since mixing paradigms can cause unforeseen bugs, as discussed in Chapter 3, Pythonic Syntax and Common Pitfalls.

Purely functional

Purely functional programming expects functions to have no side effects. That means that arguments given to the function should not be mutated, and neither should any other external states. Let’...