Fluent Python: Clear, Concise, and Effective Programming
Language: English
Published by O'Reilly Media, 2015
Series: Book 4 of 7 - Learning Python
- Softcover
- Used
Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.Goodwill of Greater Milwaukee and Chicago
AbeBooks seller since September 20, 2024
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Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.
Seller Inventory # SEWV.1491946008.A
- Title
- Fluent Python: Clear, Concise, and Effective Programming
- Author
- Ramalho, Luciano
- Publisher
- O'Reilly Media
- Publication year
- 2015
- Condition
- acceptable
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1491946008
- ISBN 13
- 9781491946008
- Series
- Book 4 of 7: Learning Python
Pythonâ??s simplicity lets you become productive quickly, but this often means you arenâ??t using everything it has to offer. With this hands-on guide, youâ??ll learn how to write effective, idiomatic Python code by leveraging its bestâ??and possibly most neglectedâ??features. Author Luciano Ramalho takes you through Pythonâ??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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