main content

HeFDI Code School Basic Track - Workshop 2: Data Manipulation with Pandas and Basic Plotting

Introduction to programming basics for those without any prior programming skills. A series of three online workshops in May 2025.

Veranstaltungsdaten

HeFDI Code School Basic Track 

You don’t know Python, but want to? You know a little Python or did it years ago and need a refresher? Then join our HeFDI Code School Basics, a dynamic series of three hands-on online workshops in collaboration with NFDI4Earth. These workshops – all free of charge – will guide you through the basic concepts and functions of Python using Jupyter notebooks, and go all the way up to manipulating data and datasets, making interactive plots and your own webpage where users can interact with your data visualisations.

The focus of the course is on you coding, so we will alternate between 20-30 minute coding presentations and breakout sessions with lots of exercises, allowing you to understand how Python works through your own practice.

The instructor is PD Dr. Dominik Hezel, Goethe-University Frankfurt and member of NFDI4Earth.

Workshops will be held in English.

About this workshop

In the second workshop of the HeFDI Code School Basic Track, you will use functions from the popular functions package ›pandas‹ to work with and manipulate datasets such as an Excel table or a .csv file. You will load large datasets and get to know how to quickly and easily filter and select only parts from it for further analyses or visualisations. You will apply conditional functions such as ›if this condition is fulfilled, do that, if not do something else‹. You will also learn how to create plots with the popular matplotlib package.

Your Benefits

• Hands-On Learning: Each 4-hour workshop blends insightful lectures with engaging group activities and practical coding exercises. Because the best way to learn coding is to write your own!
• Flexible Participation: Attend all three workshops for a comprehensive experience, or select the ones that spark your interest most.

Publications

The JupyterNotebooks - including the exercises and solutions - can be found in our Zenodo community: https://t1p.de/5yukb