Python for Non-Programmers
Course Data
| Course name: | Python for Non-Programmers |
| Course length: | 5 days |
| Remote: | Yes |
| Open course: | Yes |
| In-house: | Yes |
| Course ID: | PNE |
| Price: | See registration link |
| German course | here |
Course Dates
| Location | Date | Registration |
|---|---|---|
| Leipzig | February 08 - 12, 2027 | here |
| Remote | February 08 - 12, 2027 | here |
| Language |
|---|
| English |
Course Finder
Intended Audience¶
This course is designed for participants without any prior programming experience. Prerequisites are only some experience with an operating system and a general understanding of common computer task such as office software or similar applications.
Course Content¶
The course offers a practical overview of all basic Python features. These are the training topics:
Basics and Datastructures¶
Short introduction to JupyterLab
Python syntax
Statements and expressions
Control flow
Loops
Overview of data types
List and tuples
Dictionaries
Sets
Procedural and object-oriented Programming¶
Functions
Generators and iterators
Classes
Inheritance
Operator overloading
Exception handling
Input / output
Project and Background Knowledge¶
Small Python project
Modules and Packages
Names and objects
Namespaces and scoping
Practical Applications and Libraries¶
Text processing
System functions
Exercises¶
The participants can follow all steps directly on their computers. There are exercises at the end of each unit providing ample opportunity to apply the freshly learned knowledge.
Software¶
We use our online programing system that contains all needed software. There is no need to install any additional software. A modern internet browser and a decent internet connection will be enough.
Hardware for Open In-Person Trainings¶
For open trainings at our teaching center you can use your own laptop. Alternatively, we provide teaching computers. Please let us know if you need one in your registration form.
Course Material¶
Every participant receives comprehensive materials in PDF format that cover the whole course content as well as all source code.