This is an old revision of the document!
Data Science on-boarding on KSL platforms
Date
- Sunday, Oct 06, 2024
- 9:00 am - 1:30 pm
Venue
- Building 1, Level 2, Multi-purpose Room (MPR) (Desert Side)
Organizer
Didier Barradas Bautista
Visualization Core Laboratory
didier.barradasbautista@kaust.edu.sa
Register
Workshop Materials
- Here is the material we will follow :Data-science-onboarding
How to Prepare?
* [[https://docs.hpc.kaust.edu.sa/| KSL documentation]]
Overview
Python is a versatile and powerful programming language known for its simplicity and readability. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability and ease of use, making it an excellent choice for beginners and experienced developers. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python’s extensive standard library and vibrant community contribute to its widespread use in web development, data analysis, artificial intelligence, scientific computing, and more. Its popularity continues to grow, driven by its ability to handle complex tasks with straightforward syntax.
This hands-on lesson is part of the Introduction to Data Science Workshop Series offered by KVL as part of our ongoing efforts to build core data science skills capacity both at KAUST and within the Kingdom of Saudi Arabia (KSA).
If you have any questions, please get in touch with us at help@vis.kaust.edu.sa.
Who Should Attend?
The course is aimed at graduate students and other researchers. A user on Ibex must be associated with a PI. Unassociated users will have severe restrictions regarding how many compute resources they can request. Check using your KAUST credentials to see if you are associated with a PI Click Here.
Agenda
Time | Topic |
---|---|
09:00 | KSL Platforms |
09:30 | Quick overview of Supercomputing resources |
09:45 | Job Scheduler |
10:40 | Jupyter and Code-server on Ibex |
11:30 | GPU-enabled containers |
12:30 | Scale out demos |