In this workshop, you will learn to use Python frameworks like Pandas for handling tabular data and Matplotlib for creating publication-ready plots. Through a real-life dataset, we’ll cover the workflow from raw data to finished plots after introducing the basics.
In this workshop you will learn how to employ the Python frameworks Pandas for loading, filtering and evaluating tabular data and matplotlib to generate paper-ready plots from this data. After an introduction of the basic concepts we will explore the necessary workflow from raw data to plot using a real-life dataset.
The course is taught in two alternating ways:
- A live-coding lecture in which you will write the program along with your instructor while getting to know elements of the programming language and their use-cases
- Hands-on exercises where you will solve posed tasks on your own, supported by the instructor for questions and feedback.
Learning goals
By the end of the course, you will be familiar with the fundamental concepts of these frameworks and can employ them to create analysis and visualization scripts for your own datasets.
Course date
Register now:
For more information on how to register, please follow the link on the course date.
Prerequisites
To participate in this course, you need have a good understanding of the fundamental concepts of the Python programming language (as taught in the course “First steps in Python”) and be familiar with the programming tool you are using. Understanding of the following concepts is beneficial / recommended and helps to focus more on the core content:
- Object-oriented Programming (as taught in the course “Object-oriented Programming”)
- Generator Expressions
- Regular Expressions (Regex)
- Assignment Expressions
Target group
Learners of all academic fields who have to work with datasets: cleaning, investigating, modifying and plotting them.
This course is free of charge.
