Logo

Dive Into Python by Mark Pilgrim

Large book cover: Dive Into Python

Dive Into Python
by

Publisher: Apress
ISBN/ASIN: 1590593561
ISBN-13: 9781590593561
Number of pages: 413

Description:
The word 'Dive' on Dive Into Python has already suggested that this book is not for newbies, for wimps, or For Dummies. It assumes a lot about you. You need to know at least one real object-oriented language, like Java, C++, or Delphi, and at least one scripting language, like Perl, Visual Basic, or JavaScript. And finally you must have installled Python for your operating system. Dive Into Python is a hands-on guide to the Python language. Each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Download mirrors:
Mirror 1
Mirror 2

Similar books

Book cover: PyQt4 TutorialPyQt4 Tutorial
by - ZetCode
PyQt4 is a toolkit for creating GUI applications. It is a blending of Python language and the successful Qt library. This tutorial is suited for beginners and intermediate programmers. You will learn to program non trivial PyQt4 applications.
(14478 views)
Book cover: 20 Python Libraries You Aren't Using20 Python Libraries You Aren't Using
by - O'Reilly Media
This report helps you explore some of the lesser known Python libraries and tools that deserve more attention. Hattingh diligently spent time finding and testing hidden gems that are easy to install and use, cross-platform, and not yet popular.
(7782 views)
Book cover: Cracking Codes with PythonCracking Codes with Python
by - inventwithpython.com
The book teaches complete beginners how to program in the Python programming language. It features the source code to several ciphers and hacking programs for these ciphers. The final chapters cover the modern RSA cipher and public key cryptography.
(11346 views)
Book cover: High Performance PythonHigh Performance Python
by - ianozsvald.com
By exploring the theory behind design choices, this practical guide helps you gain a deeper understanding of Python implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
(11375 views)