Python Advanced: Advanced Topics

Advanced Topics with Python


System Programming with Python

Python System Programming "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 into 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.

Graph Theory

We have three chapters dealing with Graphs.

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".

The module matplotlib is all you will need to plot and depict your data.

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 to 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".

Online Course

You will find a complete introduction into Python in our online tutorial:

Further Topics

Our Next Training Courses


Our next open Python classes with Bernd Klein, the author of this website:

Amsterdam:
Python Course: Level II
23 - 27 Oct 17
Python Intensive Course
21 - 25 Aug 17

Berlin:
Django Python Web Application Framework Course
24 - 28 Aug 17
Python Text Processing and Computer Linguistics Course
19 - 23 Sep 16
Python Course: Level III
12 - 16 Jun 17
Python Intensive Course
4 - 8 Dec 17

Hamburg:
Python Intensive Course
24 - 28 Aug 17 4 - 8 Dec 17

Lake Constance / Zurich:
Python Course: Extending and Embedding
11 - 15 Dec 17
Python Text Processing and Computer Linguistics Course
17 - 21 Jul 17
Python Course: Level III
20 - 24 Mar 17
Python Intensive Course
26 - 30 Jun 17 9 - 13 Oct 17

London:
Python Text Processing and Computer Linguistics Course
16 - 20 Oct 17
Python Intensive Course
14 - 18 Aug 17

Luxembourg / Brussels:
Django Python Web Application Framework Course
15 - 19 May 17
Python Course: Extending and Embedding
28 Aug - 1 Sep 17
Python Intensive Course
28 Nov - 2 Dec 16 17 - 21 Jul 17

Munich / München:
Django Python Web Application Framework Course
8 - 12 May 17
Python Intensive Course
21 - 25 Aug 17

Paris:
Python Text Processing and Computer Linguistics Course
6 - 10 Nov 17
Python Course: Level II
18 - 22 Sep 17

Toronto:
Python Intensive Course
14 - 18 Aug 17 16 - 20 Oct 17

Vienna / Wien:
Python Intensive Course
16 - 20 Oct 17
Python Course: Level II
28 Aug - 1 Sep 17



A Course is not a Course

The question is ambiguous. First we want to explain, why this website is called "A Python Course". This website is seen all over the world and the expression "course" has varying meanings in the English speaking world. Both in the United States and Canada, a course is a teaching unit, which might last e.g. one academic term. The students normally get a grade or some academic credit for attending the course, usually after having passed an exam.

In the United Kingdom and Australia the term "course" usually defines the complete programme of studies required to complete a major or a study path leading to a university degree. The word "unit" is used in the UK to refer to an academic course in the North American sense.

On the one hand, we had the US and Canadian sense in mind: Our Python is one teaching unit and when you have successfully passed it, you are capable of programming in Python. On the other hand, we had the original meaning of the word in mind: A "course of instruction" as it might be used in book titles like "A Course in Programming Python".