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Learning Python: Powerful Object-Oriented Programming

Learning Python: Powerful Object-Oriented Programming

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Author: Mark Lutz
Publisher: O'Reilly Media
Category: Book

List Price: $54.99
Buy New: $28.97
as of 5/22/2012 05:04 MDT details
You Save: $26.02 (47%)

In Stock


New (48) Used (36) from $22.91

Seller: abundatrade
Sales Rank: 7,842

Languages: English (Unknown), English (Original Language), English (Published)
Media: Paperback
Edition: 4th
Pages: 1216
Number Of Items: 1
Shipping Weight (lbs): 3.8
Dimensions (in): 9.1 x 6.9 x 1.7

ISBN: 0596158068
EAN: 9780596158064
ASIN: 0596158068

Publication Date: October 9, 2009
Availability: Usually ships in 1-2 business days

Also Available In:

  • Kindle Edition - Learning Python

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Product Description

Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course.

Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0.

  • Learn about Python's major built-in object types, such as numbers, lists, and dictionaries
  • Create and process objects using Python statements, and learn Python's general syntax model
  • Structure and reuse code using functions, Python's basic procedural tool
  • Learn about Python modules: packages of statements, functions, and other tools, organized into larger components
  • Discover Python's object-oriented programming tool for structuring code
  • Learn about the exception-handling model, and development tools for writing larger programs
  • Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing



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