Data Analysis and Plotting in Python with Pandas (training course, online)
Dr. Andreas Herten
This course - originally planned for 5 June - was postponed to 4 September.
(Course no. 1562023 in the training programme 2023 of Forschungszentrum Jülich)
This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.
Contents:
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 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 are welcome to use your own laptop for the course. Alternatively, access to JSC training machines will be provided. Please specify what you want to use in your registration email.
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
Target audience:
Scientists who want to use Pandas for data analysis
Language:
This course is given in English.
Duration:
half a day
Date:
Monday, 4 September 2023, 09:00-13:00
Venue:
Online
Number of Participants:
minimum 5, maximum 25
Instructor:
Dr. Andreas Herten, JSC
Contact:
Dr. Andreas Herten
Co-Lead of division Novel System Architecture design, head of ATML Accelerating Devices
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 228
Registration:
Please register via the registration form until 20 May 2023.