The KAUST Visualization Lab is hosting an Introduction to Conda for (Data) Scientists
workshop. Conda is an open source package and environment management system that runs on
Windows, macOS and Linux. Conda installs, runs, and updates packages and their dependencies.
Conda easily creates, saves, loads, and switches between environments on your local computer.
While Conda was created for Python programs it can package and distribute software for any
the use of Conda as a development tool for building and sharing project specific software
environments that facilitate reproducible (data) science workflows.
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 curriculum of the
Introduction to Data Science Workshop Series largely follows the core
Software Carpentry curriculum and covers programming in Python,
programming in R, shell scripting, version control using Git, and database programming with SQL.
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
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).