Fluent Python: Clear, Concise, and Effective Programming

"O'Reilly Media, Inc."
25
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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
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About the author

Luciano Ramalho was a Web developer before the Netscape IPO in 1995, and switched from Perl to Java to Python in 1998. Since then he worked on some of the largest news portals in Brazil using Python, and taught Python web development in the Brazilian media, banking and government sectors. His speaking credentials include PyCon US (2013), OSCON (2002, 2013), and 15 talks over the years at PythonBrasil (the Brazilian PyCon) and FISL (the largest FLOSS conference in the Southern Hemisphere). Ramalho is a member of the Python Software Foundation and co-founder of Garoa Hacker Clube, the first hackerspace in Brazil. He is co-owner of Python.pro.br, atraining company.

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Additional Information

Publisher
"O'Reilly Media, Inc."
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Published on
Jul 30, 2015
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Pages
792
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ISBN
9781491946251
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Language
English
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Genres
Computers / General
Computers / Programming / General
Computers / Programming / Open Source
Computers / Programming Languages / General
Computers / Programming Languages / Python
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Content Protection
This content is DRM free.
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Read Aloud
Available on Android devices
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Eligible for Family Library

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Winner of the 2014 Jolt Award for "Best Book"

“Whether you are an experienced programmer or are starting your career, Python in Practice is full of valuable advice and example to help you improve your craft by thinking about problems from different perspectives, introducing tools, and detailing techniques to create more effective solutions.”

—Doug Hellmann, Senior Developer, DreamHost

If you’re an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs.

Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming—showing, for example, how Python can take full advantage of multicore hardware.

All examples, including three complete case studies, have been tested with Python 3.3 (and, where possible, Python 3.2 and 3.1) and crafted to maintain compatibility with future Python 3.x versions. All code has been tested on Linux, and most code has also been tested on OS X and Windows. All code may be downloaded at www.qtrac.eu/pipbook.html.

Coverage includes

Leveraging Python’s most effective creational, structural, and behavioral design patterns Supporting concurrency with Python’s multiprocessing, threading, and concurrent.futures modules Avoiding concurrency problems using thread-safe queues and futures rather than fragile locks Simplifying networking with high-level modules, including xmlrpclib and RPyC Accelerating Python code with Cython, C-based Python modules, profiling, and other techniques Creating modern-looking GUI applications with Tkinter Leveraging today’s powerful graphics hardware via the OpenGL API using pyglet and PyOpenGL
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