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Mastering Python

Mastering Python

By : Rick Hattem
4 (11)
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Mastering Python

Mastering Python

4 (11)
By: Rick 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 (17 chapters)
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6
6. Generators and Coroutines – Infinity, One Step at a Time
16
Index

Summary

With the inclusion of packages such as pip and venv, I feel that Python 3 has become a complete package that should suit most people. Beyond legacy applications, there is no real reason not to choose Python 3 anymore. The initial Python 3 release in 2008 was definitely a bit raw compared to the well-rounded Python 2.6 version released the same year, but a lot has changed in that aspect. The last major Python 2 release was Python 2.7, which was released in 2010; within the software world, that is a very, very long time. While Python 2.7 still receives maintenance, it will not receive any of the amazing new features that Python 3 is getting—features such as Unicode strings by default, dict generators (Chapter 6, Generators and Coroutines – Infinity, One Step at a Time), and async methods (Chapter 7, Async IO – Multithreading without Threads).

After finishing this chapter, you should be able to create a clean and recreatable virtual environment and know where to look if an installation of C/C++ packages fails.

Here are the most important notes for this chapter:

  • For a clean and simple environment, use venv. If compatibility with Python 2 is needed, use virtualenv.
  • If C/C++ packages fail to install, look for the error about missing includes.

The next chapter covers the Python style guide, which rules are important, and why they matter. Readability is one of the most important aspects of the Python philosophy, and you will learn methods and styles for writing cleaner and more readable Python code.

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Mastering Python
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