Python Course

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New topics
October 2017:
The beauty of polynomials in a Python class.

February - April 2017:
I started a new principle chapter on Machine Learning

January - March 2017:
We extended our chapters on Generators and Decorators

March 2016: We added a chapter on the Levenshtein distance with both a recursive and an iterative implementation.
We started in October 2015 with a complete tutorial on Numerical Python with introductions into Numpy, Matplotlib and Pandas
We have started a new topic: Introduction and Tutorial in Graph theory with an implementation in Python.
Something which has been missing in our tutorial: Formatting Strings or output

• For learning more about some objects used or maintained by the interpreter and to functions that interact strongly with the Python interpreter:
  Introduction into the sys Module
• The interface to the operating system: Python and the Shell
• Only for Linux and Unix-like systems: Forks and Forking in Python
• Learn more about light weight processes: Introduction into threads in Python
• You can learn more about pipes than beer: Pipe, Pipes and "99 Bottles of Beer"
• 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.
• Introduction and Tutorial on NumPy
• Matrix Arithmetic using NumPy and Python
• Some linear algebra with Python: Linear Combinations
• Introduction into Graph Theory and an implementation in Python: Graphs and Python
• Something from theoretical Computer Science: Implemenatation of a Finite State Machine (FSM) in Python
• For those interested in learning more about theoretical Computer Science: Definition and Implementation of a Turing machine in Python
• Introduction into Text Classification
• Text Classification using Python
• Recursive Function for Towers of Hanoi
• Mastermind / Bulls and Cows
• An introduction into using database interfaces in Python for SQL, MySQL and SQLite
• "And now for something completely different: Python Music Scores Using Lilypond

Python Training Courses

Python Courses

If you want to learn Python fast and efficiently, you should consider a
Python Training course at Bodenseo. You will find the right course for a beginner, intermediate or special seminars for advanced students like the Python & XML Training Course.

All the Python seminars are available in German as well: Python-Kurse"

Trainings in the US and Canada

Another Quote

Books on Python

Python Books

Introduction

Although Python is an easy to learn and powerful programming language as it is known in common parlance, there is nevertheless need of a good introduction and tutorial on the Python language.

Why yet another documentation and tutorial on Python? Aren't there enough websites with tutorials and books dealing with Python? Isn't there already everything said about this great programming language?

These were the questions which came to our mind, when we started this website in June 2010. Yes, there are lots of tutorials and introductions, but we wanted to present a different approach, with other - more interesting - examples, better explanatory diagrams and so on. We had a lot to build on, above all the longstanding experience of Bernd Klein as a computer scientist and Python lecturer. Actually, this online course is based on the material from the classroom training courses of Bodenseo and his book on Python.