Fabian Wilde, University of Greifswald
This two day seminar was held at the university of Greifswald. The course materials can be used for independent self-study.
The course materials consist of Jupyter Notebooks. A Jupyter notebook is an interactive Python environment allowing to combine interactive execution of code along with formatted description texts, like an enriched, interactive lecture manuscript.
In case you prefer to use Jupyter Hub (in case you have university login credentials), you can skip this setup section. If you'd like to write and test your code independently from the university infrastructure and start from scratch, install the Jupyter environment locally on your machine, following the instructions below:
Linux
Mac OS X
Windows
or checkout this link to download the newest version.
If you're already connected via Wifi to eduroam or via LAN in the university, you can access the JupyterHub, a Jupyter Notebook server runnning in the university cloud. As a student or employee of the university, you can use your default login credentials to login here
https://jupyterhub.wolke.uni-greifswald.de/hub/login
then simply choose "Datascience" as server type. You should see then a Launcher-Tab where you can choose to open a new Python 3 Notebook or a Linux terminal.
If you are not connected to eduroam - or - if you're working from home, you have to install and setup a VPN client. Follow these instructions to install and setup the VPN client for the university of Greifswald before you can use the JupyterHub in the university cloud. In any case you need the university login credentials to have VPN access to the university intranet.
If you're using the JupyterHub, either open a new Python 3 notebook and copy the lines
%%bash
git clone https://github.com/fwilde/pyprog
into a cell of a new notebook and then execute the cell with CTRL + Enter.
If you're using a locally installed version of Anaconda, simply go to an arbitrary directory and clone the github repository with the course materials using the following command in a terminal:
git clone https://github.com/fwilde/pyprog
Then simply open one of the Jupyter notebooks. Have fun !