Python Training Courses

Live Python classes by highly experienced instructors:

[instructor-led training course]
Instructor-led training courses by Bernd Klein

In this Python Tutorial chapter

Classroom Training Courses

This website contains a free and extensive online tutorial by Bernd Klein, using material from his classroom Python training courses.

If you are interested in an instructor-led classroom training course, have a look at these Python classes:

[instructor-led training course]
Instructor-led training course by Bernd Klein at Bodenseo

Image kabliczech - Fotolia.com

Deutsche Ausgabe

DE Python Tutorial in Deutsch

PDF version

[PDF versions of this site]

[PDF logo] PDF version of this site

Help Needed

This website is free of annoying ads. We want to keep it like this. You can help with your donation:

[Go]

The need for donations

Intro to Python Tutorial

By Bernd Klein. Last modified: 01 Feb 2022.

This tutorial provides a comprehensive and in-depth introduction to the Python language. Python version 3, which is the latest and the correct one! It differs from other tutorials in that it provides many examples, exercises and many easy-to-understand charts and graphs. The course is aimed at both beginners and intermediate to experienced programmers or developers who are looking for differences to other programming languages.

A main focus in the creation of this tutorial is that the content is suitable for self-study.

Yes, Python is an easy to learn programming language, easier than many other programming languages. Still, many need a little extra help and explanation. In this introduction we offer this in a form that is both easy to understand, but also never loses sight of the necessary technical depth. The depth that especially experienced programmers are are looking for and are interested in. For newbies, it is also important that they learn the interrelationships and special features of Python right from the start.

[Python 3 green and yellow]

This online Python course was created and is maintained by Bernd Klein, an experienced Python trainer, giving training classes all over the world. Melisa Atay has been helping to maintain the website since the beginning of 2020. Among other things, she made sure that all pages now have syntax highlights in the code. We would like to take this opportunity to thank the numerous people who help us around the world. People who kindly point out discrepancies or submit suggestions for improvement. Thank you all very much!

Live Python training

[instructor-led training course]

Enjoying this page? We offer live Python training courses covering the content of this site.

Upcoming online Courses

Python Course for Beginners

Python Intensive Course

Efficient Data Analysis with Pandas

Machine Learning from Data Preparation to Deep Learning

See our Python training courses

See our Machine Learning with Python training courses

In this chapter

Page	Description
1. History and Philosophy of Python	A brief History of Python, the origin of the name and the underlying philosophy.
2. The Interpreter, an Interactive Shell	Introduction to the interactive mode of Python and its interactive Shell
3. Execute a Script	This chapter shows how to execute a Python script or program. The details of Python Byte Code and the Python virtual machine (PVM) are also illustrated.
4. Structuring with Indentation	Python uses indentation instead of braces to structure its programs and scripts into blocks.
5. Assignment Expressions	Tutorial on the new assignment expression of Python also known as the walrus operator.
6. Data Types and Variables	Data Types and Variables in Python; defining and declaring variables
7. Type Annotations	A Chapter on Type Annotations introduced with Python 3.9, how can we use them and why are they useful
8. Operators	Detailled Introduction on Arithmetic and Comparison Operators in Python for Beginners
9. Sequential Data Types	This chapter of our online python 3 tutorial deals with Sequential Data Types: introduction into strings, lists and tuples with many examples.
10. List Manipulation	Python Tutorial: Changing and manipulating lists: removing elements with 'pop' and 'remove'. 'append' versus 'extend' and inserting elements in lists
11. Shallow and Deep Copy	Copy object and lists in Python. We explain how to avoid the pitfalls by introducing shallow and deep copy
12. Dictionaries	Tutorial on Dictionaries in Python: Operators and Methods of the Dictionary class
13. Sets and Frozen Sets	Even though sets have been used in Python since 2.3, Python3 has finally implemented them uniformly.
14. Sets Examples	File management in Python. Covering both reading and writing and serializing objects with the pickle and shelve modules
15. Keyboard Input	The input function in Python3. Differences to Python2 and raw_input
16. Conditional Statements	The chapter about conditional statements in our course on Python 3. Conditional statements are executed only if a condition is true
17. Structural Pattern Matching	The structural pattern matching behaves in its simplest form like the switch statement of C, C++, or Java.
18. Adventure Game with Structural Pattern Matching	We will showcase Python code snippets that simulate scenarios within a text adventure game, while also elucidating significant aspects and features of structural pattern matching.
19. While Loops	Chapter on loops with simple and practical examples using while loops in Python.
20. For Loops	Introduction into loops and the for Loop in Python. Simulating C-style loops with range
21. Output with Print	The print function of Python, usage and differences to Python version 2.x
22. Formatted Output	formatted output in three ways: the string methods ljust, rjust, center, format or using a C-style like formatting
23. Working with Dictionaries and while Loops	Python examples for dictionaries und while loops, using nested dictionaries.
24. Functions	Introduction to functions in Python with and without parameters. Functions with optional and an arbitrary number of parameters.
25. Passing Arguments	The passing of parameters and arguments in Python. Explaining the difference between call by object sharing, call by value and call by name.
26. Parameters And Arguments	Clarifying vious parameter and argument type, like keyword arguments and parameters, keyword-only and position-only
27. Namespaces	Introduction into Namespaces and Scopes in Python
28. Global vs. Local Variables and Namespaces	Global versus local Variables, i.e. when and how to use global and local variables in Python namespaces.
29. File Management	File management in Python. Covering both reading and writing and serializingobjects with the pickle and shelve modules
30. Modular Programming and Modules	Modular Programming in Python by using modules and packages.
31. Packages	Relation between modules and packages. Introduction into creating Python packages.
32. Errors and Exception Handling	Introduction on Exception handling with try, except and finally