Data Analysis and Plotting in Python with Pandas (training course, online)
Adel Dabah
(Kurs Nr. 1232026 im Trainingsprogramm 2026 des Forschungszentrums Jülich)
Dieser Kurs findet als Online-Veranstaltung statt. Der Link zur Streaming-Plattform wird den Teilnehmenden nach der Anmeldung mitgeteilt. Die Kurssprache ist Englisch.
Course Content:
Pandas solves the full stack of data analysis in Python: reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib). It also fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis.
This course will introduce Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.
Attendees should have run a Python program before and know the bare minimum of the programming language.
You will be using your own computer for the exercises.
Contents level | in hours | in % |
|---|---|---|
Beginner's contents: | 0 h | 0 % |
Intermediate contents: | 3 h | 100 % |
Advanced contents: | 0 h | 0 % |
Community-targeted contents: | 0 h | 0 % |
Prerequisites:
Some knowledge of Python
A personal institutional email address (university/research institution, government agency, organisation, or company) is required to register for JSC training courses. If you don't have an institutional email address, please get in touch with the contact person for this course.
Target Audience:
Scientists who want to use Pandas for data analysis
Language:
This course is given in English.
Duration:
Half a day
Dates:
30 March 2026, 09:00-13:00
Venue:
Online
Number of Participants:
Minimum 5, maximum 25
Instructor:
Adel Dabah (JSC)
Registration:
The registration for the course will open in January.
Contact:
Adel Dabah
ATML Accelerating Devices Team
- Jülich Supercomputing Centre (JSC)
Raum 207