Learning Python

Mark Lutz is a notable Python trainer, the author of Python's first and best-selling books, and a trailblazer in the Python community. Mark is the author of three O'Reilly publications, all of which are in their fourth or fifth editions: Learning Python, Programming Python, and Python Pocket Reference.


Learning Python provides a full, in-depth introduction to the basic Python language. This updated fifth edition, based on author Mark Lutz's acclaimed training course, will help you quickly build efficient, high-quality Python code that includes creating visuals using computers. It's an excellent place to start, whether you're new to programming or a seasoned programmer fluent in several languages.


This self-paced introduction, complete with quizzes, exercises, and instructive examples, gets you started with Python 2.7 and 3.3, the most recent versions in the 3.X and 2.X lines, as well as all other releases in regular usage today. You'll also learn about several advanced language features that have recently become increasingly prevalent in Python programs, especially computer graphics.


  • Examine the key built-in object types in Python, such as numbers, lists, and dictionaries.
  • Python statements are used to create and process objects, as well as to learn Python's basic syntactic paradigm.
  • Use functions to reduce code duplication and bundle code for reuse.
  • Using modules, organize statements, functions, and other tools into larger components.
  • Dive into Python's object-oriented programming tool for code organization.
  • Python's exception-handling architecture and development tools allow you to write big programs.
  • Advanced Python tools like as decorators, descriptors, metaclasses, and Unicode processing are covered.


Author: Mark Lutz

Link to buy: https://www.amazon.com/Learning-Python-5th-Mark-Lutz/dp/1449355730/

Ratings: 4.5 out of 5 stars (from 1628 reviews)

Best Sellers Rank: #17,311 in Books

#1 in Object-Oriented Software Design

#2 in Computer Graphics

#2 in Functional Software Programming


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