[Descargar pdf] PYTHON IN A NUTSHELL 2ND

PYTHON IN A NUTSHELL 2ND de ALEX MARTELLI

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• PYTHON IN A NUTSHELL 2ND
• ALEX MARTELLI
• Idioma: INGLÉS
• Formatos: Pdf, ePub, MOBI, FB2
• ISBN: 9780596100469
• Editorial: O REILLY & ASSOCIATES
• Año de edición: 2006

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Overview

 

Alex Martelli

This book offers Python programmers one place to look when they need help remembering or deciphering the syntax of this open source language and its many powerful but scantily documented modules. This comprehensive reference guide makes it easy to look up the most frequently needed information - not just about the Python language itself, but also the most frequently used parts of the standard library and the most important third-party extensions. Ask any Python aficionado and you'll hear that Python programmers have it all: an elegant object-oriented language with readable and maintainable syntax, that allows for easy integration with components in C, C++, Java, or C#, and an enormous collection of precoded standard library and third-party extension modules. Moreover, Python is easy to learn, yet powerful enough to take on the most ambitious programming challenges. But what Python programmers used to lack is a concise and clear reference resource, with the appropriate measure of guidance in how best to use Python's great power. Python in a Nutshell fills this need. Python in a Nutshell, Second Edition covers more than the language itself it also deals with the most frequently used parts of the standard library, and the most popular and important third party extensions. Revised and expanded for Python 2.5, this book now contains the gory details of Python's new subprocess module and breaking news about Microsoft's new IronPython project. Our Nutshell format fits Python perfectly by presenting the highlights of the most important modules and functions in its standard library, which cover over 90 per cent of your practical programming needs. This book includes: a fast-paced tutorial on the syntax of the Python language an explanation of object-oriented programming in Python coverage of iterators, generators, exceptions, modules, packages, strings, and regular expressions a quick reference for Python's built-in types and functions and key modules reference ma...