Book Image

Expert Python Programming - Third Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Third Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Before You Start
4
Section 2: Python Craftsmanship
12
Section 3: Quality over Quantity
16
Section 4: Need for Speed
20
Section 5: Technical Architecture
23
reStructuredText Primer

Multiprocessing

Let's be honest, multithreading is challenging—we have already seen that in the previous section. It's a fact that the simplest approach to the problem required only minimal effort. But dealing with threads in a sane and safe manner required a tremendous amount of code.

We had to set up a thread pool, communication queues, gracefully handle exceptions from threads, and also care about thread safety when trying to provide a rate limiting capability. Dozens of lines of code are needed just to execute one function from some external library in parallel! And we only assume that this is production ready because there is a promise from the external package creator that their library is thread-safe. Sounds like a high price for a solution that is practically applicable only for doing I/O bound tasks.

An alternative approach that allows you to achieve...