The KAUST Visualization Lab is hosting an Introduction to Python for Data Science workshop.
Visualization lab staff will provide an introduction to Python for data science designed for
learners with little or no previous programming experience. Topics covered will include
Next steps for more advanced training in Python for data science.
This hands-on lesson is part of the Introduction to Data Science Workshop Series
being offered by the KAUST Research Computing Core Labs as part of our on-going efforts to build
capacity in core data science skills at KAUST. The workshop curriculum largely follows the
curriculum developed by
Software Carpentry, a volunteer project dedicated to helping
researchers get their work done in less time and with less pain by teaching them basic research
This is a live-coding based workshop and learners are expected to bring their own laptops with
the required software already downloaded and installed.
The course is aimed at graduate students (MSc and PhD), Post-docs, faculty and other research staff at KAUST.
You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Requirements: Participants must bring a laptop with a
Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Accessibility: We are committed to making this workshop
accessible to everybody.
The workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
Materials will be provided in advance of the workshop and
large-print handouts are available if needed by notifying the
organizers in advance. If we can help making learning easier for
you (e.g. sign-language interpreters, lactation facilities) please
get in touch (using contact details below) and we will
attempt to provide them.
To participate in the workshop you will need access to the software described below. In
addition, you will need an up-to-date web browser.
Python is a popular language for research computing, and
great for general-purpose programming as well. While there are many different ways to install
Python, we recommend installing the 64-bit Python 3 version of
We will teach Python using the JupyterLab,
a programming environment that runs in a web browser. For this to work you will need a reasonably
up-to-date browser. The current versions of the Chrome, Safari and
Firefox browsers are all supported.
Download the 64-bit Python 3 installer for Linux. The installation requires using
the shell. If you aren't comfortable doing the installation yourself stop here and
request help at the workshop.
Open a terminal window.
and then press Tab. The name of the file
you just downloaded should appear. If it does not, navigate to the folder where you
downloaded the file, for example with:
Then, try again.
Press Return. You will follow the text-only prompts. To move through
the text, press Spacebar. Type yes and press enter to approve
the license. Press enter to approve the default location for the files. Type
yes and press enter to prepend Miniconda to your PATH
(this makes the Miniconda distribution the default Python).