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Learning Python by Mark Lutz
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Learning Python

Powerful Object-oriented Programming

O'Reilly Media · 2013-07-30

Learning Python: Powerful Object-oriented Programming

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Who It's For

  • Good for readers who enjoy Computers / Programming Languages / Python
  • Good for readers interested in language
  • Good for fans of Programming

What You Get

  • Themes: Language.
  • Reading lane: Programming Languages and Programming.
  • Publisher: O'Reilly Media.

Categories

What we read

  • Computers / Programming Languages / Python

    90%
  • Computers / Programming / Open Source

    86%
  • Computers / Programming Languages / General

    86%

About This Book

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you start...

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Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. - Explore Python’s major built-in object types such as numbers, lists, and dictionaries - Create and process objects with Python statements, and learn Python’s general syntax model - Use functions to avoid code redundancy and package code for reuse - Organize statements, functions, and other tools into larger components with modules - Dive into classes: Python’s object-oriented programming tool for structuring code - Write large programs with Python’s exception-handling model and development tools - Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

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