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Docs» training:ds:2024:introtopython

Introduction to Python for (Data) Scientists

  Date

  • Thursday, Oct 03, 2024
  • 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



Workshop Materials

  • Slides: here
  • Etherpath:here

How to Prepare?

  • Here is the material we will follow :Python 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

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 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 Introduction to Python and Pandas
09:30 Building Programs with Python
10:00 Conditionals
11:00 Loops
12:00 Programming Style

workshop
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training/ds/2024/introtopython.txt · Last modified: 2024/09/29 11:31 by Didier Barradas Bautista
Visualization Laboratory Wiki

Table of Contents

Table of Contents

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

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