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Ebooks Present in Python Category
The Quick Python Book, Second Edition

The Quick Python Book, Second Edition, is a clear, concise introduction to Python 3, aimed at programmers  new to Python. This updated edition includes all the changes in Python 3, itself a significant shift from earlier versions of Python.

The book begins with basic but useful programs that teach the core features of syntax, control flow, and data structures. It then moves to larger applications involving code management, object-oriented programming, web development, and converting code from earlier versions of Python.

True to his audience of experienced developers, the author covers common programming language features concisely, while giving more detail to those features unique to Python.

* Concepts and Python 3 features
* Regular expressions and testing
* Python tools
* All the Python you need—nothing you don’t

Python Programming with the Java(TM) Class Libraries: A Tutorial for Building Web and Enterprise Applications with Jython

Characterized by ease of use, richness of expression, and concise syntax, Python has remained a premier programming language for more than a decade, and is used by novices and professionals alike. In particular, its close relationship to Java™ makes the two languages, when used in combination, ideal for Web and distributed enterprise application development.

This tutorial begins with coverage of some of the basics of Python programming. Using plenty of skill-building exercises and interactive programming sessions, this book will help those new to programming develop an understanding of concepts and practical techniques. For experienced programmers, the book demonstrates Python’s
breadth of capabilities and shows the ways that Python interfaces with Java APIs for professional application development.

Python Programming with the Java™ Class Libraries: A Tutorial for Building Web and Enterprise Applications with Jython covers important topics such as:

* Fundamental programming concepts, including statements, expressions, interpreters, and compilers
* Python basics, including operators, string formatting, namespaces, classes, errors, and exceptions
* Object-oriented programming concepts
* File input/output
* Python’s intrinsic functions
* Formatting, parsing, and manipulating strings
* Interfacing with the Java APIs and working with Java Streams
* Using Python and Java Swing to create GUIs
* Working with SQL and JDBC™
* Python and Java applets

In addition, the book contains instructions for downloading and installing the Python language and the Java Development Kit (JDK). Terminology, definitions, explanations, and numerous code samples make this book a useful learning experience.

Whether you are a sophisticated computer user new to programming or a serious application developer, Python Programming with the Java™ Class Libraries will give you insight into the power of Python and the know-how to put it to work.

About the Author

Richard Hightower is the CTO at Trivera Technologies, a global training and consulting company that focuses on Enterprise Java Development. He leads the adoption of new processes including extreme programming, and helps implement coding standards and guidelines for development. He has created an extensible caching mechanism for caching JSPs, XSLTs, and JDBC results and a pluggable XSLT engine framework. Formerly the senior software engineer for Java Architecture at Intel’s Enterprise Architecture Lab, Rick is a frequent contributor to Java™ Developer’s Journal magazine and the coauthor of Java Tools for Extreme Programming (Wiley, 2001). At Intel, he led his team of developers in the design and implementation of three-tier, client-server applications; introduced O-O CASE tools; and created several frameworks using a variety of Java, COM, CORBA, and middleware technologies. Rick also created ICBeans and authored the patent application for this technology, which was awarded to Intel. A software engineer at heart, he specializes in development tools and processes, and developing enterprise applications using J2EETM, XML, UML, CORBA, JDBC, SQL, and Oracle technologies.

Game Programming with Python, Lua, and Ruby (Game Development)

Get ready to dive headfirst into the world of programming! “Game Programming with Python, Lua, and Ruby” offers an in-depth look at these three flexible languages as they relate to creating games. No matter what your skill level as a programmer, this book provides the guidance you need. Each language is covered in its own section?you’ll begin with the basics of syntax and style and then move on to more advanced topics. Follow along with each language or jump right to a specific section! Similar features in Python, Lua, and Ruby?including functions, string handling, data types, commenting, and arrays and strings?are examined. Learn how each language is used in popular game engines and projects, and jumpstart your programming expertise as you develop skills you’ll use again and again!

About the Author
Tom Gutschmidt has been a freelance technical writer for the past two years, with articles mainly appearing on Earthweb, Gamelan, and Developer.com. He also worked as an editor for the RPG website GameBanshee for the year 2001. Currently he is the youngest member of a small development team in an encryption and key management company (Widevine Technologies). Gutschmidt has worked on a number of open source game projects, do freelance work currently making web based games, and actively work on mod development.

His current projects include running an online gaming site that focuses on NWN mods and flash game development. The site has a small but regular following. He is wrapping up production on a full length NWN game mod that is in the late stages of beta testing.

Python Cookbook

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
Another advantage of The “Python Cookbook,” 2nd Edition is its trio of authors–three well-known Python programming experts, who are highly visible on email lists and in newsgroups, and speak often at Python conferences.
With scores of practical examples and pertinent background information, The “Python Cookbook,” 2nd Edition is the one source you need if you’re looking to build efficient, flexible, scalable, and well-integrated systems.

Book Info
A collection of problems, solutions, and practical examples written by Python programmers in the style of the popular Perl Cookbook. Anyone interested in Python programming will want this wealth of practical advice, snippets of code, and patterns of program design. Softcover. –This text refers to an out of print or unavailable edition of this title.

Python in a Nutshell

In the tradition of O’Reilly’s “In a Nutshell” series, Python in a Nutshell offers Python programmers one place to look when they need help remembering or deciphering the syntax of this open source language and its many modules. This comprehensive reference guide makes it easy to look up all 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 language that offers object-oriented programming support, a readable, maintainable syntax, integration with C components, and an enormous collection of precoded standard library and extension modules. Moreover, Python is easy to learn but powerful enough to take on the most ambitious programming challenges. But what Python programmers have lacked is one concise and clear reference resource, with the appropriate measure of guidance in how best to use Python’s great power. Now Python in a Nutshell fills this need. In the tradition of O’Reilly’s “In a Nutshell” series, 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 modules. This comprehensive reference guide makes it easy to look up all 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 focuses on Python 2.2 (and all its point releases), currently the most stable and widespread Python release. This book includes:

* A fast-paced tutorial on the syntax of the Python language itself
* An explanation of object-oriented programming in Python, covering both the classic and new-style object models
* Coverage of other core topics, including exceptions, modules, strings, and regular expressions
* A quick reference for Python’s built-in types and functions, as well as the key modules in the Python standard library, including sys, os, time, thread, math, and socket, among many others
* Reference material on important third-party extensions, such as Numeric and Tkinter
* Information about extending Python and embedding it into other applications

Python in a Nutshell provides a solid, no-nonsense quick reference to information that programmers rely on the most. This latest addition to the best-selling “In a Nutshell” series will immediately earn its place in any Python programmer’s library.

Python Scripting for Computational Science (Hardcover)

The goal of this book is to teach computational scientists how to
develop tailored, flexible, and human-efficient working environments
built from small programs (scripts) written in the easy-to-learn,
high-level language Python. The focus is on examples and applications of
relevance to computational scientists: gluing existing applications and
tools, e.g. for automating simulation, data analysis, and visualization;
steering simulations and computational experiments; equipping old
programs with graphical user interfaces; making computational Web
applications; and creating interactive interfaces with a
Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran.
In short, scripting with Python makes you much more productive,
increases the reliability of your scientific work and lets you have more
fun – on Unix, Windows and Macintosh. All the tools and examples in this
book are open source codes. The third edition is compatible with the new
NumPy implementation and features updated information, correction of
errors, and improved associated software tools.

Professional Python Frameworks: Web 2.0 Programming with Django, and Turbogears (Programmer to Programmer) (Paperback)

As two of the leading MVC web frameworks for Python, Django and
TurboGears allow you to develop and launch sites in a fraction of the
time compared to traditional techniques and they provide greater
stability, scalability, and management than alternatives. Packed with
examples, this book will help you discover a new methodology for
designing, coding, testing, and deploying rich web applications. A team
of expert authors shows you the power of MVC frameworks and the
capabilities of the TurboGears and Django packages. The Django chapters
show you how to automate production of common web development tasks,
portal creation, and content management, so you can focus on
higher-level application issues and design. The TurboGears chapters
illustrate how to rapidly create modern, highly interactive Web 2.0
applications. For both frameworks, you’ll create useful applications
that exemplify common Web 2.0 design paradigms and their solutions.
Ultimately, you’ll leverage your Python skills using Django and
TurboGears and go from novice to RIA expert. What you will learn from
this book

* How you can use frameworks to save you time and frustration in the
development cycle

* The elements, differences, and similarities of the TurboGears and
Django frameworks

* Advanced capabilities of both frameworks and how they easily solve
issues common to web applications

* Approaches to simplifying your client side JavaScript® with
MochiKit, a Pythonic JavaScript library

* How to pair TurboGears with Flash for even more possibilities Who
this book is for This book is for Python developers who want to learn
rapid Web 2.0 development techniques using frameworks and incorporating
a model-view-controller architecture. Wrox Professional guides are
planned and written by working programmers to meet the real-world needs
of programmers, developers, and IT professionals. Focused and relevant,
they address the issues technology professionals face every day. They
provide examples, practical solutions, and expert education in new
technologies, all designed to help programmers do a better job.

Core Python Programming

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.

* Learn professional Python style, best practices, and good programming habits
* Gain a deep understanding of Python’s objects and memory model as well as its OOP features, including those found in Python’s new-style classes
* Build more effective Web, CGI, Internet, and network and other client/server applications
* Learn how to develop your own GUI applications using Tkinter and other toolkits available for Python
* Improve the performance of your Python applications by writing extensions in C and other languages, or enhance I/O-bound applications by using multithreading
* Learn about Python’s database API and how to use a variety of database systems with Python, including MySQL, Postgres, and SQLite

IronPython in Action

In 2005, Microsoft quietly announced an initiative to bring dynamic languages to the .NET platform. The starting point for this project was a .NET implementation of Python, dubbed IronPython. After a couple years of incubation, IronPython is ready for real-world use. It blends the simplicity, elegance, and dynamism of Python with the power of the .NET framework.

IronPython in Action offers a comprehensive, hands-on introduction to Microsoft’s exciting new approach for programming the .NET framework. It approaches IronPython as a first class .NET language, fully integrated with the .NET environment, Visual Studio, and even the open-source Mono implementation. You’ll learn how IronPython can be embedded as a ready-made scripting language into C# and VB.NET programs, used for writing full applications or for web development with ASP. Even better, you’ll see how IronPython works in Silverlight for client-side web programming.

IronPython opens up exciting new possibilities. Because it’s a dynamic language, it permits programming paradigms not easily available in VB and C#. In this book, authors Michael Foord and Christian Muirhead explore the world of functional programming, live introspection, dynamic typing and duck typing , metaprogramming, and more.

IronPython in Action explores these topics with examples, making use of the Python interactive console to explore the .NET framework with live objects. The expert authors provide a complete introduction for programmers to both the Python language and the power of the .NET framework. The book also shows how to extend IronPython with C#, extending C# and VB.NET applications with Python, using IronPython with .NET 3.0 and Powershell, IronPython as a Windows scripting tool, and much more.

Rapid GUI Programming with Python and Qt (Prentice Hall Open Source Software Development)

Whether you’re building GUI prototypes or full-fledged cross-platform GUI applications  with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development.
With Rapid GUI Programming with Python and Qt you’ll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book’s realistic examples you’ll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4’s rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples—all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.

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