Linux

As Linux is essentially the dream programming environment, very little setup is needed for the Lab part of this course. Furthermore, with Linux users, we expect that some of the following steps are not necessary as the requirements are likely already satisfied on your system, so you may skip any steps at your discretion.

The framework has been tested on Ubuntu 24.04 and Arch Linux. Other Linux distros should work just as well as long as they support up-to-date versions of Python and Anaconda.

---

Step 1: Install PyCharm

Download and install PyCharm for Linux. We strongly recommend installing the Professional version of PyCharm (free of cost). To do this, you will need to create an account using your university student email address. You may also use the Community edition, however we do not oficially support it.

---

Step 2: Install Miniconda3

mkdir -p ~/miniconda3
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm ~/miniconda3/miniconda.sh

After installing, close and reopen your terminal application or refresh it by running the following command:

source ~/miniconda3/bin/activate

---

Step 3: Set up SSH with GitHub

One of the easiest ways to access your GitHub account (and with that your private repository) is to set up a Secure Shell (SSH) key. Follow the GitHub SSH Setup Guide for this.