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Learning Python: Powerful Object-Oriented Programming

by Mark Lutz

A structured guide to Python’s core language and tools

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AlbakiReads Editorial

A structured guide to Python’s core language and tools

Mark Lutz’s sixth edition moves from Python’s built-in data types and syntax to the structures used to organize and reuse code, including functions, modules, packages, and classes. It also covers exception handling and development tools, then surveys more advanced features such as decorators, descriptors, and metaclasses. Quizzes, exercises, and illustrations give the book a self-study framework, while its coverage ranges from introductory concepts to topics encountered in more complex Python code. The description identifies Python 3.12 alongside other releases in use, and highlights portable, idiomatic programming as a practical concern.

Good fit for readers who enjoy

  • People beginning to learn programming through Python
  • Developers familiar with other languages who want a substantial Python reference
  • Self-directed learners who value quizzes and exercises

Themes

Python language fundamentalsObject-oriented programmingCode organization and reusePortable, idiomatic code

Based on publisher information and book metadata.

Book overview

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 sixth 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 Python 3.12 and all other releases in use today. With a pragmatic focus on what you need to know, it also introduces some advanced language features that have become increasingly common in Python code.

This book helps you:

  • Explore Python's built-in object types such as strings, lists, dictionaries, and files
  • Create and process objects with Python statements, and learn Python's syntax model
  • Use functions and functional programming to avoid redundancy and maximize reuse
  • Organize code into larger components with modules and packages
  • Code robust programs with Python's exception handling and development tools
  • Apply object-oriented programming and classes to make code customizable
  • Survey advanced Python tools including decorators, descriptors, and metaclasses
  • Write idiomatic Python code that runs portably across a wide variety of platforms
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