Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offersAbout This Book
Become familiar with the most important and advanced parts of the Python code style
Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language
Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples
What You Will Learn
Create a virtualenv and start a new project
Understand how and when to use the functional programming paradigm
Get familiar with the different ways the decorators can be written in
Understand the power of generators and coroutines without digressing into lambda calculus
Create metaclasses and how it makes working with Python far easier
Generate HTML documentation out of documents and code using Sphinx
Learn how to track and optimize application performance, both memory and cpu
Use the multiprocessing library, not just locally but also across multiple machines
Get a basic understanding of packaging and creating your own libraries/applications
In DetailPython 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.Style and ApproachThis book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.Table of Contents
Getting Started - One Environment per Project
Pythonic Syntax, Common Pitfalls, and Style Guide
Containers and Collections - Storing Data the Right Way
Functional Programming - Readability Versus Brevity
Decorators - Enabling Code Reuse by Decorating
Generators and Coroutines - Infi nity, One Step at a Time
Async IO - Multithreading without Threads
Metaclasses - Making Classes (Not Instances) Smarter
Documentation - How to Use Sphinx and reStructuredText
Testing and Logging - Preparing for Bugs
Debugging - Solving the Bugs
Performance - Tracking and Reducing Your Memory and CPU Usage
Multiprocessing - When a Single CPU Core Is not Enough
Extensions in C/C++, System Calls, and C/C++ Libraries
Packaging - Creating Your Own Libraries or Applications
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