Python
  Home arrow Python arrow Python 101 (part 7): Dinner With A Hun...
Dev Shed Forums 
Administration  
Apache  
BrainDump  
DHTML  
Flash  
Java  
JavaScript  
Multimedia  
MySQL  
Oracle  
Perl  
PHP  
Practices  
Python  
Reviews  
Security  
Style-Sheets  
Web Services  
XML  
Zend  
Zope  
Forums Sitemap 
IBM® developerWorks 
Dedicated Servers 
E-Commerce Hosting 
Linux Web Hosting 
Managed Hosting 
Small Business Hosting 
Download TestComplete 
VPS Hosting 
Weekly Newsletter

 
Developer Updates  
Free Website Content 
 RSS  Articles
 RSS  Forums
 RSS  All Feeds
Write For Us Get Paid 
Request Media Kit
Contact Us 
Site Map 
Privacy Policy 
Support 
 USERNAME
 
 PASSWORD
 
 
  >>> SIGN UP!  
  Lost Password? 
PYTHON

Python 101 (part 7): Dinner With A Hungry Giant
By: Vikram Vaswani, (c) Melonfire
  • Search For More Articles!
  • Disclaimer
  • Author Terms
  • Rating: 5 stars5 stars5 stars5 stars5 stars / 4
    2001-08-07

    Table of Contents:
  • Python 101 (part 7): Dinner With A Hungry Giant
  • Mercury Rising
  • Between A Rock And...Another Rock
  • Love Bytes
  • Enter The Hungry Giant
  • From Python, With Love
  • Doing The Math
  • String Theory (And Other Interesting Stuff)
  • Bucking The System

  • Rate this Article: Poor Best 
      ADD THIS ARTICLE TO:
      Del.ici.ous Digg
      Blink Simpy
      Google Spurl
      Y! MyWeb Furl
    Email Me Similar Content When Posted
    Add Developer Shed Article Feed To Your Site
    Email Article To Friend
    Print Version Of Article
    PDF Version Of Article
     
     
     
    ADVERTISEMENT

    Stay one step ahead of the competition. Evaluate and give feedback on some of the hottest web development tools on the market today. Make your opinion heard! Click Here

    Python 101 (part 7): Dinner With A Hungry Giant
    (Page 1 of 9 )

    Last time out, I introduced the fundamental unit of software abstraction - the function - and demonstrated it in the context of a Python program. I illustrated how functions can be used to package code into reusable modules which, when combined with arguments and return values, add a whole new level of flexibility to your code. Finally, I talked at some length about variable scope inside and outside functions, and discussed some of the tools Python offers to assist in optimal usage of functions.

    However, packaging your code into functions is just the beginning. Python also allows you to create collections of shared code fragments, or "modules", which may be imported and used by any Python program. Powerful, flexible and very interesting, modules can be one of the most potent weapons in a Python developer's arsenal...so long as they're used correctly.

    Over the course of this article, I'll be exploring Python modules in detail, together with examples of how to create, import and use modules in your own development activities. As if that wasn't enough, I will also be looking at some of the built-in modules that ship with Python, and demonstrating how they can speed up code development. So let's get going, shall we?

    More Python Articles
    More By Vikram Vaswani, (c) Melonfire


     

       

    PYTHON ARTICLES

    - SSH with Twisted
    - Mobile Programming in Python using PyS60: UI...
    - Python: Count on It
    - Python Strings: Spinning Yarns
    - Python: More Fun with Strings
    - Python: Stringing You Along
    - Python Operators
    - Bluetooth Programming in Python: Network Pro...
    - Python Sets
    - Python Conditionals, Lists, Dictionaries, an...
    - Python: Input and Variables
    - Introduction to Python Programming
    - Mobile Programming in Python using PyS60: Ge...
    - Bluetooth Programming using Python
    - Finishing the PyMailGUI Client: User Help To...




    © 2003-2008 by Developer Shed. All rights reserved. DS Cluster 4 hosted by Hostway