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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Advanced collections

The following collections are mostly just extensions of base collections, some of them fairly simple and others a bit more advanced. For all of them though, it is important to know the characteristics of the underlying structures. Without understanding them, it will be difficult to comprehend the characteristics of these collections.

There are a few collections that are implemented in native C code for performance reasons, but all of them can easily be implemented in pure Python as well.

ChainMap – the list of dictionaries

Introduced in Python 3.3, ChainMap allows you to combine multiple mappings (dictionaries for example) into one. This is especially useful when combining multiple contexts. For example, when looking for a variable in your current scope, by default, Python will search in locals(), globals(), and lastly builtins.

Normally, you would do something like this:

import builtins

builtin_vars = vars(builtins)
if key in locals():
    value = locals()[key]...
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