Data Processing with Pandas and Visualization with Matplotlib

Session

Lessons

LS

7 Apr 2025, 10:15

online

2. Setting up a Python Project

07/04/2025, 10:15

You learn how a basic project is set up and explore two approaches to Python programming: using the REPL and writing Python files.

4. Variables, Assignments and Data Types

07/04/2025, 10:30

Get to know the basic constructs for storing and manipulating information in a program. Understand what data types are and how they influence how information is processed.

3. Importing

07/04/2025, 11:15

Since projects often get distributed over multiple files or require code from other sources, we will investigate how to import code from other files or libraries.

5. Conditionals

07/04/2025, 12:30

It is often necessary to check conditions and act accordingly. This section will cover expressing those conditions and how to control in which order they get checked and how to react to them.

6. While-Loops

07/04/2025, 13:15

Loops are a good choice when it comes to repeating actions. In this section, the "while"-loop will be introduced as a method of repeating code based on condition.

8. Functions

08/04/2025, 10:15

Splitting parts of programs off into self contained, reusable blocks is a good way to handle complexity and allow for parts of a program to also be used in other projects.

9. For-Loops

08/04/2025, 11:15

Introducing the second kind of loop, the "for"-loop is well suited to iterate over a set of data or repeat a set of instructions a given amount of times.

11. Tuples

09/04/2025, 10:15

Tuples are a great way to bundle up multiple values. Learn how to employ them and take advantage of Python's automatic Packing/unpacking feature.

12. Lists

09/04/2025, 10:45

Another very useful data type is the List, a sorted collection of data. In this section we introduce some basic functionality and learn where to find more detailed information for this data type and many others.

13. Finalizing the Project

09/04/2025, 11:15

We will put some finishing touches on our example project to make it ready for a first release. Further, possible future learning paths will be outlined.