Visualization Laboratory Wiki
Docs» training:ds:2025:introtogit

This is an old revision of the document!


Introduction to Git for (Data) Scientists

  Date

  • TBD
  • 9:00 am - 1:00 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

Register Here



data-science-minimal.jpeg

Workshop Materials

  • Slides: Here
  • Etherpath:here

How to Prepare?

  • Here is the material we will follow : Git novice.
  • Local Setup : Here.
  • Public Binder : here
  • KAUSTians you will be able to use:
  • The Classhub, please create a GitHub account in order to use it
  • After you create the GitHub account, get access here
  • JupyterHub, use your portal credentials to log in

Overview

Version control is a very important tool to master. M

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 contact us at help@vis.kaust.edu.sa.

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.

Agenda

Time Topic
09:00 Navigating files and directories
09:30 Working with files and directories
10:00 Pipes and filters
11:00 Loops
12:00 Shell scripting

workshop
Previous Next

Site Tools

  • Media Manager

Page Tools

  • Old revisions
  • Backlinks
  • Back to top

User Tools

  • Log In
training/ds/2025/introtogit.1736409561.txt.gz · Last modified: 2025/01/09 07:59 by Didier Barradas Bautista
Visualization Laboratory Wiki

Table of Contents

Table of Contents

  • Introduction to Git for (Data) Scientists
    • Overview
    • Who Should Attend?
    • Agenda

Welcome to the KVL

  • Home
  • Training Events
  • Facilities
  • Highlights

KVL Documentation

  • Frequently Asked Questions
  • Visualization Tools User Guides
  • AR & VR Tools User Guides
  • Data Science Tools User Guides
  • Facility User Guides