Bezaye Tesfaye, Christian Meeßen, Hannes Fuchs, Maximilian Dolling, Nils Brinkmann
Together with the advancement of new tools and techniques, and
the availability of large datasets in different research domains,
a solid understanding of common scripting languages and version
control systems is becoming more and more important for many researchers.
Having the knowledge and skills on how to use tools and techniques to
analyze data efficiently, to preserve research output and to collaborate
with peers benefit every research domain. So its important to close the
gap between researchers and the know-how for new tools and techniques.
Software Carpentry aims to provide this support.
It is an interactive workshop including sessions from concepts to practice on
topics that can be used in many research domain. The sessions are organized
in a friendly environment, where people can learn from each other and share
experience. Participants also get support throughout the whole sessions.
The workshop targets audience from graduate students to advanced researchers, and
doesn't require previous knowledge of topics that will be covered.
Requirements: The workshop will be held virtually
and participants should prepare the following items before the workshop: (1) prepare a laptop with a Mac,
Linux, or Windows operating system (not a tablet, Chromebook, etc.), and a headset if possible, and (2) install required
software packages for the workshop (listed below).
Download the Anaconda Installer with Python 3 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 navigate to the directory where
the executable is downloaded (e.g., `cd ~/Downloads`).
and then press
Tab to autocomplete the full file name. The name of
file you just downloaded should appear.
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 Anaconda to your PATH
(this makes the Anaconda distribution the default Python).