Introduction to Applications of Python
By Bernd Klein. Last modified: 14 Dec 2021.
System Programming with Python
"System focused programming" might be the better term than "System Programming". System programming or systems programming means often only the activity of "programming system software", programs which are often part of the operating system. Our topics in this section of our online course deal with Pipes, Threads and Forks and starting and using shell commands and scripts from a Python script.
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 to Threads. We show how to find the active IP addresses in a local network by using forks.
The chapter, which is subtitled as "Pipe, Pipes and '99 Bottles of Beer'" might be interesting to teetotallers as well, because it's not about alcohol but dealing with alcohol, even though the "99 bottles of beer" in the title give the impression. Instead, we show you 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.
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.
- In our chapter on Polynomials we demonstrate how easily and beautifully a class for the creation and manipulation of polynomial functions can be written in Python.
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 to Text Classification using Naive Bayes and our Python Implementation of Text Classification will be the right chapters for you.
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 to using database interfaces in Python for SQL, MySQL and SQLite