Mastering Python


出版时间:2016.4
官网链接:Packt
下载地址:百度网盘(PDF)

内容简介:

Book Description

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.

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

Authors

Rick van Hattem is an experienced programmer, entrepreneur, and software/database architect with over 20 years of programming experience, including 15 with Python. Additionally, he has a lot of experience with high-performance architectures featuring large amounts of concurrent users and/or data.

Rick has founded several start-ups and has done consulting for many companies, including a few Y Combinator start-ups and several large companies. One of the startups he founded, Fashiolista.com, is one of the largest social networks for fashion in the world, featuring millions of users and the performance challenges to accompany those.

Rick was one of the reviewers on the book PostgreSQL Server Programming, Packt Publishing.

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