Carpentry@UiO workshop: Plotting and Programming in Python
University of Oslo
Oct 15-16 2024
9:00 am - 3:30 pm CEST
Instructors:
Federico Bianchini, Andrea Dale Wefring, Jeanne Cheneby
Helpers:
Veerle Van Winden, Pål Magnus Lykkja
General Information
The Carpentries project comprises the Software Carpentry, Data Carpentry, and
Library Carpentry communities of Instructors, Trainers, Maintainers,
helpers, and supporters who share a mission to teach foundational computational and data science
skills to researchers.
Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more.
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Software Carpentry
aims to help researchers get their work done
in less time and with less pain
by teaching them basic research computing skills.
This hands-on workshop will cover basic concepts and tools,
including program design, version control, data management,
and task automation.
Participants will be encouraged to help one another
and to apply what they have learned to their own research problems.
Who:
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.
Where:
Elektronisk klasserom, Georg Sverdrups Hus, Blindern, Oslo.
Get directions with
OpenStreetMap
or
Google Maps.
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).
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.
We are dedicated to providing a positive and accessible learning environment for all.
We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information.
However, we do want to help create an inclusive, accessible experience for all participants.
We encourage you to share any information that would be helpful to make your Carpentries experience accessible.
To request an accommodation for this workshop, please fill out the
accommodation request form.
If you have questions or need assistance with the accommodation form please email us.
Glosario is a multilingual glossary
for computing and data science terms. The glossary helps
learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it
in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers
for their learners.
Roles:
To learn more about the roles at the workshop (who will be doing what),
refer to our Workshop FAQ.
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.
Surveys
Please be sure to complete these surveys before and after the workshop.
To participate in a
Software Carpentry
workshop,
you will need access to software as 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. Installing all of its research packages individually can be
a bit difficult, so we recommend
Anaconda,
an all-in-one installer.
Regardless of how you choose to install it,
please make sure you install Python version 3.x
(e.g., 3.6 is fine).
We will teach Python using the Jupyter Notebook,
a programming environment that runs in a web browser (Jupyter Notebook will be installed by Anaconda). 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
(some older browsers, including Internet Explorer version 9
and below, are not).
Download the Anaconda for Windows installer with Python 3. (If you are not sure which version to choose, you probably want the 64-bit Graphical Installer Anaconda3-...-Windows-x86_64.exe)
Install Python 3 by running the Anaconda Installer, using all of the defaults for installation except make sure to check Add Anaconda to my PATH environment variable.
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`).
Type
bash Anaconda3-
and then press
Tab to autocomplete the full file name. The name of
file you just downloaded should appear.
Press Enter
(or Return depending on your keyboard).
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 (or Return)
to approve the default location
for the files.
Type yes and press
Enter (or Return)
to prepend Anaconda to your PATH
(this makes the Anaconda distribution the default Python).