Better python code : a guide for aspiring experts / David Mertz.
Material type:
TextPublisher: Hoboken : Addison-Wesley, ©2024Edition: FirstDescription: xxiii, 257 pages ; 23 cmContent type: - text
- unmediated
- volume
- 9780138320942 (paperback)
- QA76.73.P98 MER
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GSU Library Epoch General Stacks | General Collection | QA76.73 MER (Browse shelf(Opens below)) | 1 | Available | 50000006888 |
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| QA76.73.J38 HAR Java by comparison : become a java craftsman in 70 examples / | QA76.73.L23 The LISP network : evolution to the next generation of data networks / | QA76.73 MAR Programming with rust / | QA76.73 MER Better python code : a guide for aspiring experts / | QA76.73.P2 WIL Pascal from begin to end / | QA76.73.P98 OKK Python testing with pytest : simple, rapid, effective and scalable / | QA76.73.S67 KAR SQL antipatterns, Volume 1 : avoiding the pitfalls of database programming / |
Includes index.
"Python is one of the most widely used programming languages in the world. It is used everywhere from primary school education to workaday web development, to the most advanced scientific research institutes of the world. However, like all programming languages, Python has a collection of "Pythonic" ways of accomplishing tasks that are easy to overlook, especially when habits are borrowed wholesale from work in other programming languages. This book is a guide to Pythonic programming. The book presents common mistakes that Python developers make--even Python developers who have used the language for years--often because Python sometimes presents "attractive nuisances." Throughout, the book is a guide to better programming in the core Python language. Each section shows a concrete but concise example of some misunderstanding or bad habit in action. Each section contains a description of what is wrong with the sample code and a suggestion for one or more better ways to code equivalent functionality without the initial pitfall. Every pitfall addressed in this book reflects foibles, errors, and misunderstandings that the author as seen in concrete, widely used code bases written by experienced developers, over his 25 years of writing Python"-- Provided by publisher.
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