This handy little book offers programmers a complete overview of the syntax and semantics of regular expressions that are at the heart of every text-processing application. Ideal as a quick reference, Regular Expression Pocket Reference covers the regular expression APIs for Perl 5.8, Ruby (including some upcoming 1.9 features), Java, PHP, .NET and C#, Python, vi, JavaScript, and the PCRE regular expression libraries.

This concise and easy-to-use reference puts a very powerful tool for manipulating text and data right at your fingertips. Composed of a mixture of symbols and text, regular expressions can be an outlet for creativity, for brilliant programming, and for the elegant solution. Regular Expression Pocket Reference offers an introduction to regular expressions, pattern matching, metacharacters, modes and constructs, and then provides separate sections for each of the language APIs, with complete regex listings.

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.