电子书免费下载 Python in a Nutshell, 2nd Edition

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% 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 material on important third-party extensions,

such as Numeric and Tkinter

Information about extending and embedding Python

Python in a Nutshell provides a solid,

no-nonsense quick reference to information that programmers rely on the

most. This book will immediately earn its place in any Python

programmer's library.