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training:ds:2024:data_science_on-boarding_on_ksl_platforms [2024/08/19 12:32] – Didier Barradas Bautistatraining:ds:2024:data_science_on-boarding_on_ksl_platforms [2024/10/03 11:43] (current) – Didier Barradas Bautista
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-====== Data Science on-boarding on KSL platforms ======+====== Data Science on-boarding on Ibex and Shaheen ======
  
 <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs> <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs>
  
-  * Sunday, Oct 06, 2024 +  * Tuesday, Oct 08, 2024 
-  * 9:00 am - 1:30 pm+  * 8:30 am - 12:30 pm
  
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
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 <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs> <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs>
  
-<wrap em button> [[https://kaustforms.formstack.com/forms/python_24 |Register Here]] </wrap> \\+<wrap em button> [[https://kaustforms.formstack.com/forms/onboarding_fall_2024 |Register Here]] </wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
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 <WRAP group> <WRAP third column> <WRAP group> <WRAP third column>
-{{training:ds:2024:python_logo_01.svg}}+{{training:ds:2024:DS_onboarding_corelabs.jpg}}
 /* /*
 {{  wiki:highlights:2023:cpv-cop.png?direct&  }} {{  wiki:highlights:2023:cpv-cop.png?direct&  }}
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 <WRAP center round box download 100%> <WRAP center round box download 100%>
  <fs:26px>** Workshop Materials**</fs>  <fs:26px>** Workshop Materials**</fs>
 +  * Material to work:[[https://github.com/kaust-rccl/Data-science-onboarding/tree/main|Data-science-onboarding]]
 +  * Slides:[[https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/EfxT32QpmANGtAyE75YcoQYByB-BhGKBoeQNsAqMNzKMPg?e=uQ6U6G|here]]
 +  * Livestream: [[https://youtube.com/live/F9Ag6fJbVC0?feature=share | watch recording]]
 /* /*
   * Slides: [[https://download.vis.kaust.edu.sa/pub/workshops/2024/SciVis101-VR/slides.pdf | download pdf]]   * Slides: [[https://download.vis.kaust.edu.sa/pub/workshops/2024/SciVis101-VR/slides.pdf | download pdf]]
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 <WRAP center round box todo 100%> <WRAP center round box todo 100%>
  <fs:26px>** How to Prepare?**</fs>  <fs:26px>** How to Prepare?**</fs>
 +
 +  * Here is the [[https://wiki.vis.kaust.edu.sa/dstools#ibex_starting_pack| Ibex Starting Pack]]
 +  * You can consult reading the  [[https://docs.hpc.kaust.edu.sa/| KSL documentation]]
 +
 /* /*
   * Here is the material we will follow :[[https://swcarpentry.github.io/python-novice-gapminder/|Python novice]].   * Here is the material we will follow :[[https://swcarpentry.github.io/python-novice-gapminder/|Python novice]].
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 ===== Overview ===== ===== 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.+The Ibex cluster is a heterogeneous cluster with various compute nodes and filesystems. Several users run numerous projects, including mathematical and chemical modeling, data analysis, machine learning, and artificial intelligence.  
  
-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).+This hands-on lesson is part of the Introduction to Data Science Workshop Series offered by KVL and KSL 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 [[mailto:help@vis.kaust.edu.sa|help@vis.kaust.edu.sa]].+If you have any questions, please contact us at [[mailto:help@vis.kaust.edu.sa|help@vis.kaust.edu.sa]].
  
  
 ===== Who Should Attend? ===== ===== Who Should Attend? =====
  
-The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.+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 computing resources they can request. **Check using your KAUST credentials to see if you are associated with a PI** [[https://my.ibex.kaust.edu.sa/teams|Click Here]].
  
  
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 ^Time  ^Topic| ^Time  ^Topic|
-^09:00 |KSL Platforms  | +^08:30 |KSL Platforms  | 
-^09:30 |Quick overview of Supercomputing resources       |+^09:00 |Quick overview of Supercomputing resources       |
 ^09:45 |Job Scheduler | ^09:45 |Job Scheduler |
 ^10:40 |Jupyter and Code-server on Ibex  | ^10:40 |Jupyter and Code-server on Ibex  |