Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. It is now being used by an increasing number of major organizations, including NASA and Google. Updated for Python 2.4, The Python Cookbook, 2nd Edition offers a wealth of useful code for all Python programmers, not just advanced practitioners. Like its predecessor, the new edition provides solutions to problems that Python programmers face everyday. It now includes over 200 recipes that range from simple tasks, such as working with dictionaries and list comprehensions, to complex tasks, such as monitoring a network and building a templating system. This revised version also includes new chapters on topics such as time, money, and metaprogramming. Here's a list of additional topics covered:

• Manipulating text
• Searching and sorting
• Working with files and the filesystem
• Object-oriented programming
• Dealing with threads and processes
• System administration
• Interacting with databases
• Creating user interfaces
• Network and web programming
• Processing XML
• Distributed programming
• Debugging and testing

This book will help Java developers to increase application development and deployment, thus optimizing their overall efficiency.

A brief introduction is provided that shows the differences between Java and Jython, important to include so that the reader will have a better understanding of why their union is beneficial.

The remainder of the book teaches, through examples, how to use Jython. Intended for an experienced Java developer, this book assumes you understand the fundamentals to programming (i.e. loop statements, if.then, etc.). So, page space is focused on utilizing Jython with Java by covering the following: extending Python with java classes, modules, compiling, interpreters, design integration, etc.

Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. Examples and applications were chosen for their relevance to real world problems, and where numerical solutions are most efficient. Numerical methods are discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method. Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package; free and available to all students and engineers. Explore numerical methods with Python, a great language for teaching scientific computation.

This book puts the "Web" back into web services. It shows how you can connect to the programmable web with the technologies you already use every day. The key is REST, the architectural style that drives the Web. This book:

• Emphasizes the power of basic Web technologies — the HTTP application protocol, the URI naming standard, and the XML markup language
• Introduces the Resource-Oriented Architecture (ROA), a common-sense set of rules for designing RESTful web services
• Shows how a RESTful design is simpler, more versatile, and more scalable than a design based on Remote Procedure Calls (RPC)
• Includes real-world examples of RESTful web services, like Amazon's Simple Storage Service and the Atom Publishing Protocol
• Discusses web service clients for popular programming languages
• Shows how to implement RESTful services in three popular frameworks — Ruby on Rails, Restlet (for Java), and Django (for Python)
• Focuses on practical issues: how to design and implement RESTful web services and clients

This is the first book that applies the REST design philosophy to real web services. It sets down the best practices you need to make your design a success, and the techniques you need to turn your design into working code. You can harness the power of the Web for programmable applications: you just have to work with the Web instead of against it. This book shows you how.

Though Python is a relatively new programming language, it has quite a significant audience owing to its sensible syntax. An active user of Python since 1996, Beazley provides ample information on the fundamentals of versions 2.0 and 2.1, including syntax, functions, operators, classes, and libraries. This is first and foremost a reference, so he avoids lengthy discussions of Python's superiority. Peppered with good code samples and featuring a companion web site with more extensive pieces, this title should be on hand in larger libraries.

Programming Python focuses on advanced uses of the Python programming/scripting language, which has evolved from an emerging language of interest primarily to pioneers, to a widely accepted tool that traditional programmers use for real day-to-day development tasks. With Python, you can do almost anything you can do with C++; but Python is an interpreted language designed for rapid application development and deployment. Among other things, Python supports object-oriented programming; a remarkably simple, readable, and maintainable syntax; integration with C components; and a vast collection of pre-coded interfaces and utilities. As Python has grown to embrace developers on a number of different platforms (Unix, Linux, Windows, Mac), companies have taken notice and are adopting Python for their products. It has shown up animating the latest Star Wars movie, serving up maps and directories on the Internet, guiding users through Linux installations, testing chips and boards, managing Internet discussion forums, scripting online games, and even scripting wireless products. Programming Python is the most comprehensive resource for advanced Python programmers available today. Reviewed and endorsed by Python creator Guido van Rossum, who also provides the foreword, this book zeroes in on real-world Python applications. It's been updated for Python 2.0 and covers Internet scripting, systems programming, Tkinter GUIs, C integration domains, and new Python tools and applications. Among them: IDLE, JYthon, Active Scripting and COM extensions, Zope, PSP server pages, restricted execution mode, the HTMLgen and SWIG code generators, thread support, CGI and Internet protocol modules. Such applications are the heart and soul of this second edition. Veteran O'Reilly author Mark Lutz has included a platform-neutral CD-ROM with book examples and various Python-related packages, including the full Python 2.0 source code distribution.

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.

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.

Learning Python is an introduction to the increasingly popular interpreted programming language that's portable, powerful, and remarkably easy to use in both stand-alone and scripting applications. This book thoroughly introduces the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. It also demonstrates how to perform common programming tasks and write real applications.

Python is an agile, robust, expressive, fully object-oriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. In Core Python Programming, Second Edition, leading Python developer and trainer Wesley Chun helps you learn Python quickly and comprehensively so that you can immediately succeed with any Python project.

Using practical code examples, Chun introduces all the fundamentals of Python programming: syntax, objects and memory management, data types, operators, files and I/O, functions, generators, error handling and exceptions, loops, iterators, functional programming, object-oriented programming and more. After you learn the core fundamentals of Python, he shows you what you can do with your new skills, delving into advanced topics, such as regular expressions, networking programming with sockets, multithreading, GUI development, Web/CGI programming and extending Python in C.

This edition reflects major enhancements in the Python 2.x series, including 2.5 as well as capabilities set for future versions. It contains new chapters on database and Internet client programming, plus coverage of many new topics, including new-style classes, Java and Jython, Microsoft Office (Win32 COM Client) programming, and much more.

This book will help experienced Web developers get productive with TurboGears—fast. You’ll quickly build your first TurboGears Web application—then extend it one step at a time, mastering the underlying libraries that make these enhancements possible. Next, the authors demonstrate TurboGears at work in a real-world application, by examining the code for “WhatWhat Status,” an open source project status tracking application. Finally, you’ll gain deep insight into the model, view, and controller technologies TurboGears is built upon: knowledge that will help you build far more robust and capable Python applications. Coverage includes * Understanding the architecture of a TurboGears application * Mastering SQLObject, customizing it, and using it with TurboGears models * Utilizing TurboGears view technologies, including dynamic templates and MochiKit for Ajax * Bringing CSS, XHTML, and JavaScript together in reusable components with TurboGears Widgets * Using CherryPy and TurboGears controller technologies: from decorators to deployment * Exploring the TurboGears toolbox * Ensuring security and managing user access permissions in TurboGears applications