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Saturday, February 25, 2012

Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))


Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))


Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) is a product to be taken into possession. Because there is very useful in applications. And it's a reasonable price. Not too expensive. Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) can be purchased from the Internet. After Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) was purchased. Products are delivered quickly. It makes our family very happy after work. It is very easy to use. The installation is easy because Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) is easy to read and understand the information they love Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) so much. We have recommended that we buy it all. If you are looking for a similar product that I recommend. Because the price is not too expensive. One. Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) has a price. And limited.Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))






Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly)) Overview


This is the book to reach for when you're coding on the fly and need an answer now. It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.X as well as version 2.6. You'll also quickly find exactly what you need with the handy index.

Written by Mark Lutz -- widely recognized as the world's leading Python trainer -- Python Pocket Reference, Fourth Edition, is the perfect companion to O'Reilly's classic Python tutorials, also written by Mark: Learning Python and Programming Python.

  • Built-in object types, including numbers, lists, dictionaries, and more
  • Statements and syntax for creating and processing objects
  • Functions and modules for structuring and reusing code
  • Python's object-oriented programming tools
  • The exception-handling model
  • Built-in functions, exceptions, and attributes
  • Special operator overloading methods
  • Widely used standard library modules and extensions
  • Command-line options and development tools
  • Python idioms and hints