IBM Python Technology Topics

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Technical topics in Python

Python was developed by Guido van Rossum and is available for free. is a very high-level interpretive language. Its syntax is easy to understand, and object-oriented semantics are powerful and flexible, and Python can be widely used and highly portable. This topic includes the Cute Python series, the Python Discovery series, Python extensions, application development using Python, and more.

The Cute Python series
  • Cute python: Combining XML and Python to introduce Python's XML tools
  • Cute python:dom dynamic Close-up Python's Xml.dom module
  • Cute Python: My first Web-based filter proxy uses txt2html to convert text to HTML
  • Cute Python: Using a state machine
  • Tips for getting Started with text processing in a cute Python:python
  • Cute python:curses tips for getting started with programming
  • Cute Python:python Implementation Insider interviews with the creators of Vyper and Stackless Python
  • Cute Python: Dynamic reload
  • Cute Python:jpython and Python for. NET Insider Interview Founders
  • function programming in the cute Python:python--Make your favorite scripting language more effective
  • Cute Python: Get version 2.0
  • TK programming in the cute Python:python-tips for beginners using the Python GUI Library
  • Cute python: Developing full-text indexing under Python
  • Cute Python:python IDE Evaluation
  • Cute python: Relive Python's XML tools
  • Functional programming in the lovely Python:python, part 2nd
  • Cute python: function programming in Python, part 3rd
  • Cute python: python for PalmOS
  • Cute Python:pydoc and distutils modules
  • Cute Python: iterators and simple generators
  • Cute Python:[anygui] Project preview
  • Cute python: Update your Python reading list, part 2nd
  • Cute Python: Parsing using the Simpleparse module
  • Cute python: Update your Python reading list, part 3rd
  • Cute python: Implement "lightweight threading" with Python Builder
  • Cute Python: Generator-based State machine
  • Cute Python: Using Spark module to parse
  • Cute python: Use Psyco to make Python run as fast as C
  • Cute Python: Creating declarative mini language-programming as assertions rather than directives
  • Cute python: Using the combination function in the Itertools module--Programming in Python becomes "lazy"
  • Cute python:numerical Python--use Numeric package and Numarray package
  • Cute python: Reviews python IDE--python development made easier
  • The test framework in the cute Python:python--Make sure the software works as you want it to
  • Cute Python:python Enterprise Application Kit--use PEAK in Python for protocol
  • Cute python: learn DParser for Python
  • Cute Python: Use Hashcash to fight junk mail
  • Cute Python:pyrex to extend and accelerate Python applications
  • Cute Python: A new feature for deep PEAK
  • Cute python: Hatching python egg with setuptools
  • Cute python:decorator simplified meta-programming
  • The elegance and blemish of the lovely Python:python, part 1th
  • The elegance and blemish of the lovely Python:python, part 2nd
  • Cute Python: Getting started with the Natural language toolkit
  • Cute Python:simpy simplifies complex models
Build a grid application using Python
    • Building a grid application using Python part 1th: Introduction
    • Building a grid application with Python part 2nd: Communication
    • Building a grid application in Python, part 3rd: Security
    • Building a grid application with Python, Part 4: Metadata
    • Building a grid application using Python, part 5th: Tracking and managing
Explore the Python series
    • Explore Python, part 1th: Python's built-in numeric type
    • Explore Python, part 2nd: Explore the hierarchy of Python types
    • Explore Python, part 3rd: Explore the hierarchy of Python types
    • Explore Python, Part 4: Explore the hierarchy of Python types
    • Explore Python, part 6th: Programming with Python
    • Explore Python, part 5th: Programming with Python
    • Explore Python, part 7th: Explore Python type hierarchies
    • Explore Python, part 9th: peers
    • Explore Python, part 8th
Python WEB Services Developer Series
    • Python WEB Services Developer: part 1th
    • Python Web Services Developer, part 2nd: Web Services software repository, part 1th
    • Python Web Services Developer part 5th: Python SOAP Library
    • Python Web Services Developer part 6th: Python SOAP Library, part 2nd
    • Python WEB Services Developer Part 7th: The tenth session of the International Python Conference
    • Python WEB Services Developer part 8th: Python SOAP Library, part 3rd
    • Python Web service Developer: Xml-rpc for Python
    • Python WEB Service Developer: Message delivery technology comparison
    • Python Web service Developer: RSS for Python
    • Python WEB Service Developer: Handling SOAP through SMTP
    • Python Web service Developer: Three power: Python, Web service, and XSLT
    • Python WEB Service Developer: The real world, part 2nd
    • Python Web service Developer: Python SOAP Library, part 5th
    • Python Web service Developer: Python SOAP Library, part 4th
    • Developing Web Service using Python
    • Python WEB Service Developer: Real World, Part one
Python and data sources
    • Using Sqlobject to connect to a database with Python
    • Connect Apache Derby Database using Python
    • Application development based on Python and DB2 express-c
    • Access DB2 for Linux using Python
Using Python for socket, web, desktop development
    • Linux socket programming, part I.
    • Linux Socket Programming, Part Two
    • Using Python for Socket programming
    • Python web framework, part 1th: Developing WEB sites using Django and Python
    • Python Web framework, part 2nd: Developing WEB sites using TurboGears and Python
    • Agile Web Development based on Django framework
    • Application Development for Laptop laptops (tutorial)
    • Desktop development for Laptop laptops
Python Design Pattern Series
    • Using patterns to improve software design
    • Create simple Factory Mode
    • Python design mode series three--Create type factory method mode
    • Python design mode series four--Create abstract Factory mode
Python Extensions
    • About Wxwindows--Introduction to portable C + + and Python toolboxes
    • Wxhtml for Beginners to use
    • Integration of pyrite Palm-linux
    • Extend Python and Zope with C
    • Wxhtml for Beginners to use
    • Python Introspection Guide--How to monitor your Python objects
    • Qt and PyQt--Advanced GUI libraries for Python
    • Extend Python's functionality in C language
    • Encapsulate GObject in Python--you don't have to be a C expert to encapsulate modules for Python
    • Using Python to weave a neural network
    • Python and Gnumeric dance together
    • High-quality graphics output based on the Python matplotlib module
    • CherryPy for CGI Programmers
    • Meta-class programming in Python, part 2nd-Understanding the mysteries of inheritance and instance creation
    • Meta-class programming in Python, part 3rd: meta-programming without meta-classes
Python Development Tools
    • Python Automated Unit Testing Framework
    • Meta-class programming in Python-pushing object-oriented programming to new heights
    • Using Eclipse and Ant for Python development
    • Introduction to the Eclipse Jydt plugin
Python and System Management
    • Python for system administrators-make system administration simpler (and more interesting)
    • Using NET-SNMP and IPython
    • Creating UNIX command-line tools using Python
    • Using Python for actual threading programming
    • From scripting to object-oriented Python programming
    • LPI Certification Series Tutorials
    • Windows to Linux Tour
    • Technical topics in Python
    • Rational's development

      http://www.ibm.com/developerworks/cn/linux/

IBM Python Technology Topics

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