This document is a syllabus for a second course in Python programming. This course contains discussions of several advanced topics that are of interest to Python programmers.

Python is an interpreted, interactive, object-oriented programming language. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

If you have never programmed before in your life, then do I have the perfect programming language for you. It’s called Python, and it is easy to learn, flexible, and loaded with capabilities that you never thought would be so easy to use. Imagine your thrill when you write a complete program in just a few lines!This is a tutorial to help the non-programmer learn the basics of using Python. When you are done with it, you will be ready to learn this new language, and have no problems figuring out where to find the information you need to go farther.

This document is a syllabus for a first course in Python programming. This course contains an introduction to the Python language, instruction in the important and commonly used features of the language, and practical excercises in the use of those features.

Python has a very extensive, well documented and portable module library that provides a large variety of useful functions. The Internet-related collection is particularly impressive, with modules to deal with everything from parsing and retrieving URL's to retrieving mail from POP servers and everything in between. Main topics include: Why should my next CGI project be in Python? Your First CGI program in Python, Getting some real work done, Defining a useful Display function, Putting the pieces together, and Simple Database Access.

Along with several other popular scripting languages, Python is an excellent tool for scanning and manipulating textual data. This article summarizes Python's text processing facilities for the programmer new to Python. The article explains some general concepts of regular expressions and offers advice on when to use (or not use) regular expressions while processing text.

In this tutorial we will create a little application written in PyGTK and we will use Glade to create the graphical use terface (GUI). Another feature of this tutorial is that we will create a bar chart with Matplotlib.