Fluent Python: Clear, Concise, and Effective Programming

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: • Python data model: understand how special methods are the key to the consistent behavior of objects • Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age • Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns • Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance • Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages • Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work

Author(s): Luciano Ramalho
Publisher: O’Reilly Media
Year: 2015

Language: English
Commentary: True PDF
Pages: 792
City: Sebastopol, CA
Tags: Data Structures; Meta-Programming; Python; Concurrency; Asynchronous Programming; Design Patterns; Object-Oriented Programming; Programming Style; asyncio