Asynchronous programming gained a lot of traction in the last few years. In Python 3.5, it finally got some syntax features that solidify concepts of asynchronous execution. But this does not mean that asynchronous programming is possible only starting from Python's 3.5 version. A lot of libraries and frameworks were provided a lot earlier, and most of them have origins in the old versions of Python 2. There is even a whole alternate implementation of Python called Stackless (see Chapter 1, Current Status of Python) that concentrated on this single programming approach. Some of these solutions, such as Twisted, Tornado, and Eventlet, still have huge and active communities and are really worth knowing. Anyway, starting from Python 3.5, asynchronous programming is easier than ever before. Therefore, it is expected that its built-in asynchronous features...
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Expert Python Programming - Third Edition
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Expert Python Programming
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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)
Preface
Current Status of Python
Modern Python Development Environments
Section 2: Python Craftsmanship
Modern Syntax Elements - Below the Class Level
Modern Syntax Elements - Above the Class Level
Elements of Metaprogramming
Choosing Good Names
Writing a Package
Deploying the Code
Python Extensions in Other Languages
Section 3: Quality over Quantity
Managing Code
Documenting Your Project
Test-Driven Development
Section 4: Need for Speed
Optimization - Principles and Profiling Techniques
Optimization - Some Powerful Techniques
Concurrency
Section 5: Technical Architecture
Event-Driven and Signal Programming
Useful Design Patterns
reStructuredText Primer
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