Effective Python: 90 Specific Ways to Write Better Python, Edition 2

Addison-Wesley Professional
Free sample

Updated and Expanded for Python 3
It’s easy to start developing programs with Python, which is why the language is so popular. However, Python’s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.

This second edition of Effective Python will help you master a truly “Pythonic” approach to programming, harnessing Python’s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++, Brett Slatkin brings together 90 Python best practices, tips, and shortcuts, and explains them with realistic code examples so that you can embrace Python with confidence.

Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You’ll understand the best way to accomplish key tasks so you can write code that’s easier to understand, maintain, and improve. In addition to even more advice, this new edition substantially revises all items from the first edition to reflect how best practices have evolved.

Key features include
  • 30 new actionable guidelines for all major areas of Python
  • Detailed explanations and examples of statements, expressions, and built-in types
  • Best practices for writing functions that clarify intention, promote reuse, and avoid bugs
  • Better techniques and idioms for using comprehensions and generator functions
  • Coverage of how to accurately express behaviors with classes and interfaces
  • Guidance on how to avoid pitfalls with metaclasses and dynamic attributes
  • More efficient and clear approaches to concurrency and parallelism
  • Solutions for optimizing and hardening to maximize performance and quality
  • Techniques and built-in modules that aid in debugging and testing
  • Tools and best practices for collaborative development
Effective Python will prepare growing programmers to make a big impact using Python.
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About the author

Brett Slatkin is a principal software engineer at Google. He is the technical co-founder of Google Surveys, the co-creator of the PubSubHubbub protocol, and he launched Google’s first cloud computing product (App Engine). Fourteen years ago, he cut his teeth using Python to manage Google’s enormous fleet of servers. Outside of his day job, he likes to play piano and surf (both poorly). He also enjoys writing about programming-related topics on his personal website (https://onebigfluke.com). He earned his B.S. in computer engineering from Columbia University in the City of New York. He lives in San Francisco.

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Additional Information

Publisher
Addison-Wesley Professional
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Published on
Oct 25, 2019
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Pages
1288
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ISBN
9780134854595
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Language
English
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Genres
Computers / Programming Languages / Python
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else.

In Learn Python the Hard Way, Third Edition, you'll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you'll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use. Most importantly, you'll learn the following, which you need to start writing excellent Python software of your own:

Installing a complete Python environment Organizing and writing code Basic mathematics Variables Strings and text Interacting with users Working with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Debugging Automated testing Basic game development Basic web development

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