Python Course

This website is ad-free! There are no paid-for ads. The only things advertised here are the book by Bernd Klein, the author of this tutorial, and the training classes given by the author.

There is no PDF version available, but you can create it yourself. You can use the print functionality of your browser to do this. Use "Print to File" and you will get a nicely formatted version of a chapter.

Thanks!

Thank you very much for using this tutorial! We hope that you will enjoy learning Python with us!

Advanced Topics

System Programming with Python

Python has various modules to support system focused programming. The sys module is introduced in the first chapter. A focal point are the data streams (stdin, stdout, stderr) and redirections of streams. The interaction between is the focus in the following chapter of our course.
The interaction between Python and the Linux Shell is another topic of our advanced section. This chapter is followed by Forks and Forking.

You can learn more about threads and threading in our Introduction into Threads. We show how to find the active IP addresses in a local network by using forks.

We demonstrate in "Pipe, Pipes and '99 Bottles of Beer'" how to write a program which is construing the famous American song "99 bottles of beer" by using forked processes and Pipes. So, if you need a good example of pipes and forks working together you will find it here.

Graph Theory

We have three chapters dealing with Graphs.

• A general introduction into the Graph theory and the corresponding Python code can be found in "Graphs in Python" You will also here the implementations of a graph class with essential functionalities for graph creation, manipulation and calculations.
• Introduction into the module pygraph
• Introduction into the module NetworkX

Computer Science and Computer Linguistics

Finite State Machines are not only used in computer science but in natural language processing as well. We cover the concept of the Finite State Machine in great detail, so that even an amateur in Computer Science can understand the examples. At least we hope so.

Alan Turing's Turing Machines and above all the underlying theory is a must for every computer scientist. We show a simple implementation of a Turing Machine.

If you are interested in Classifying documents, the Introduction into Text Classification using Naive Bayes and our Python Implementation of Text Classification will be the right chapters for you.

Numerical Computations with Python

If you want to get efficient and fast results with arrays and matrices, the NumPy module of Python is definitely the right tool collection for you. You will find answers to your questions in our tutorial, i.e. in our chapters "NumPy Module" and "Matrix Arithmetic".

We also provide an introduction into Linear Combination

Music

It's also possible to create scores with Python: You can find a complete working example in Creating Musical Scores With Python

If you feel that the above topics are too complicated or sophisticated for you, you might like our course for beginners in Python. You find a documented link list in the following lines:

Databases with Python

An introduction into using database interfaces in Python for SQL, MySQL and SQLite

"Games"

What you find are not real games! We show a recursive solution to Towers of Hanoi and a game Cows and Bulls better known in a commercial version called "Mastermind".