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. Praise for the First Edition:
"In a nutshell, "Python in a Nutshell" serves one primary goal: to act as an immediately accessible goal for the Python language. True, you can get most of the same core information that is presented within the covers of this volume online, but this will invariably be broken into multiple files, and in all likelihood lacking the examples or the exact syntax description necessary to truly understand a command."
--Richard Cobbett, "Linux Format"
"O'Reilly has several good books, of which "Python in a Nutshell" by Alex Martelli is probably the best for giving you some idea of what Python is about and how to do useful things with it."
--Jerry Pournelle, "Byte Magazine"
|Introduction to Python The Python Language The Python Standard Library and Extension Modules Python Implementations Python Development and Versions Python Resources|
|Installation Installing Python from Source Code Installing Python from Binaries Installing Jython|
|The Python Interpreter The python Program Python Development Environments Running Python Programs The Jython Interpreter II. Core Python Language and Built-ins|
|The Python Language Lexical Structure Data Types Variables and Other References Expressions and Operators Numeric Operations Sequence Operations Dictionary Operations The print Statement Control Flow Statements Functions|
|Object-Oriented Python Classic Classes and Instances New-Style Classes and Instances Special Methods Metaclasses|
|Exceptions The try Statement Exception Propagation The raise Statement Exception Objects Custom Exception Classes Error-Checking Strategies|
|Modules Module Objects Module Loading Packages The Distribution Utilities (distutils)|
|Core Built-ins Built-in Types Built-in Functions The sys Module The getopt Module The copy Module The bisect Module The UserList, UserDict, and UserString Modules|
|Strings and Regular Expressions Methods of String Objects The string Module String Formatting The pprint Module The repr Module Unicode Regular Expressions and the re Module III. Python Library and Extension Modules|
|File and Text Operations The os Module Filesystem Operations File Objects Auxiliary Modules for File I/O The StringIO and cStringIO Modules Compressed Files Text Input and Output Richer-Text I/O Interactive Command Sessions Internationalization|
|Persistence and Databases Serialization DBM Modules The Berkeley DB Module The Python Database API (DBAPI) 2.0|
|Time Operations The time Module The sched Module The calendar Module The mx.DateTime Module|
|Controlling Execution Dynamic Execution and the exec Statement Restricted Execution Internal Types Garbage Collection Termination Functions Site and User Customization|
|Threads and Processes Threads in Python The thread Module The Queue Module The threading Module Threaded Program Architecture Process Environment Running Other Programs The mmap Module|
|Numeric Processing The math and cmath Modules The operator Module The random Module The array Module The Numeric Package Array Objects Universal Functions (ufuncs) Optional Numeric Modules|
|Tkinter GUIs Tkinter Fundamentals Widget Fundamentals Commonly Used Simple Widgets Container Widgets Menus The Text Widget The Canvas Widget Geometry Management Tkinter Events|
|Testing, Debugging, and Optimizing Testing Debugging The warnings Module Optimization IV. Network and Web Programming|
|Client-Side Network Protocol Modules URL Access Email Protocols The HTTP and FTP Protocols Network News Telnet Distributed Computing|
|Sockets and Server-Side Network Protocol Modules The socket Module The SocketServer Module Event-Driven Socket Programs|
|CGI Scripting and Alternatives CGI in Python Cookies Other Server-Side Approaches|
|MIME and Network Encodings Encoding Binary Data as Text MIME and Email Format Handling|
|Structured Text: HTML The sgmllib Module The htmllib Module The HTMLParser Module Generating HTML|
|Structured Text: XML An Overview of XML Parsing Parsing XML with SAX Parsing XML with DOM Changing and Generating XML V. Extending and Embedding|
|Extending and Embedding Classic Python Extending Python with Python's C API Extending Python Without Python's C API Embedding Python|
|Extending and Embedding Jython Importing Java Packages in Jython Embedding Jython in Java Compiling Python into Java|
|Distributing Extensions and Programs Python's distutils The py2exe Tool The Installer Tool|
|Table of Contents provided by Publisher. All Rights Reserved.|
Series: In a Nutshell (O'Reilly)
Number Of Pages: 738
Published: 21st July 2006
Dimensions (cm): 22.9 x 15.6 x 3.924
Weight (kg): 0.992