Below you will find 20 categories and 5 links related to Python Tools Resources.
Explore all aspects of programming with Python in this comprehensive resource. Expert programmer Martin Brown guides you through the fundamentals of using modules through the use of advanced object orientation classes. You'll learn how to develop complex applications, create multimedia software, and develop interactive Web sites. While written with the experienced programmer in mind, Python: The Complete Reference is an invaluable sourcebook for the beginning programmer as well. This book also covers how to utilize Python's extensive libraries, including tools for reading and parsing SGML, HTML, and XML files. Master programming in the Python language Discover how modules are written and imported into your scripts Use Python's extensive libraries for information processing, file system manipulation, data management, network communication, multimedia, and more. Apply Python as a RAD tool for rapid application development.
Python & XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers). The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network.
Python Pocket Reference, 2nd Edition is a companion volume to two O'Reilly Animal Guides, Programming Python, 2nd Edition and Learning Python. It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features. This pocket reference covers the latest Python release 2.2, and provides quick access to just what you're looking for. It is a short, concise reference for the most commonly used libraries and tools. The new edition also includes new summary material for Python's GUI, Internet, and database programming tools. Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for Internet scripting, systems programming, user interfaces, and product customization. Python is available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS.
Python isn't just a tool for creating short Web scripts and simple prototypes: its advantages are equally compelling in large-scale development. In Python Programming Patterns, Thomas Christopher shows developers the best ways to write large programs with Python, introducing powerful design patterns that deliver unprecedented levels of robustness, scalability, and reuse. Christopher teaches both the Python programming language and how to "program in the large" with Python, using objects, modularization, toolkits, frameworks, and other powerful tools and techniques. 20+ proven object-oriented patterns for large-scale Python development: creational, structural, and behavioral. Leverage the skills you've mastered in other object-oriented languages. Design Python systems for maximum reuse. Make the most of persistence, concurrent programming, functional programming, and metaprogramming. Create cleaner, more comprehensible software systems.
Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides efficient and effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges. Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode. A comprehensive index and plentiful cross-referencing offer easy access to available information. Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers.