Fluent Python Clear, Concise, and Effective Programming 1st Edition

Pdf Book Name: Fluent Python Clear, Concise, and Effective Programming 1st Edition
Author: Luciano Ramalho
Publisher: O’Reilly Media
ISBN-10, 13: 1491946008,9781491946008
Year: 2015
Pages: 768 Pages
Language: English
File size: 18 MB
File format: PDF,EPUB

Download Fluent Python Clear, Concise, and Effective Programming 1st Edition Pdf Book Description:

This book was written for practicing Python programmers who want to become proficient in Python 3. If you know Python 2 but are willing to migrate to Python 3.4 or later, you should be fine. At this writing the majority of professional Python programmers are using Python 2, so I took special care to highlight Python 3 features that may be new to that audience. However, Fluent Python is about making the most of Python 3.4, and I do not spell out the fixes needed to make the code work in earlier versions. Most examples should run in Python 2.7 with little or no changes, but in some cases backporting would require significant rewriting. Having said that, I believe this book may be useful even if you must stick with Python 2.7, because the core concepts are still the same. Python 3 is not a new language, and most differences can be learned in an afternoon. What’s New In Python 3.0 is a good starting point. Of course, there have been changes after Python 3.0 was released in 2009, but none as important as those in 3.0. If you are not sure whether you know enough Python to follow along, review the topics of the official Python Tutorial. Topics covered in the tutorial will not be explained here, except for some features that are new in Python 3. If you are just learning Python, this book is going to be hard to follow. Not only that, if you read it too early in your Python journey, it may give you the impression that every Python script should leverage special methods and metaprogramming tricks. Premature abstraction is as bad as premature optimization. This approach has a few advantages. First, knowing what is ready to use can save you from reinventing the wheel.

We use existing collection classes more often than we implement our own, and we can give more attention to the advanced usage of available tools by deferring the discussion on how to create new ones. We are also more likely to inherit from existing ABCs than to create a new ABC from scratch. And finally, I believe it is easier to understand the abstractions after you’ve seen them in action. Often we’ll use the interactive Python console to explore the language and libraries. I feel it is important to emphasize the power of this learning tool, particularly for those readers who’ve had more experience with static, compiled languages that don’t provide a REPL read eval print loop. One of the standard Python testing packages, doctest, works by simulating console sessions and verifying that the expressions evaluate to the responses shown. I used doctest to check most of the code in this book, including the console listings. You don’t need to use or even know about doctest to follow along: the key feature of doctests is that they look like transcripts of interactive Python console sessions, so you can easily try out the demonstrations yourself.

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