Book Image

Mastering Python

By : Rick van Hattem
Book Image

Mastering Python

By: Rick van Hattem

Overview of this book

Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges.
Table of Contents (22 chapters)
Mastering Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
6
Generators and Coroutines – Infinity, One Step at a Time
Index

Summary


After reading this chapter, you should be able to create Python packages containing not only pure-Python files but also extra data, compiled C/C++ extensions, documentation, and tests. With all these tools at your disposal, you are now able to make high quality Python packages that can easily be reused in other projects and packages.

The Python infrastructure makes it really quite easy to create new packages and split your project into multiple subprojects. This allows you to create simple and reusable packages with fewer bugs because everything is easily testable. While you shouldn't go overboard with splitting up the packages, if a script or module has a purpose of its own then it's a candidate for packaging separately.

With this chapter we have come to the end of the book. I sincerely hope you enjoyed reading it and have learned about new and interesting topics. Any and all feedback is greatly appreciated, so feel free to contact me through my website at https://wol.ph/.