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HOWTO Tools

Installing Python and Jupyter Notebook

You can experiment with the code online without installation using Google CoLab.

To work on assignments, you can use one of several environments:

  • Use the online service Google CoLab. No additional installations are necessary.
  • Install Docker and use a prepared JupyterLab on Ubuntu image. Execute docker run -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes jupyter/datascience-notebook to download and create a container that runs JupyterLab and bookmark the link (including the login token) that you get during installation. Details and configuration options can be found on the Jupyter Docker stack GitHub page) From now on, use docker ps -a to list containers and their container id, docker stop <container id> and docker start <container id> to stop and start the container (do not use run again because it will create a new empty container).
  • Install Python, JupyterLab and all needed packages yourself using pip or conda. You can also use Anaconda for easier installation. With this option, you can use Visual Studio Code as a nice editor.

Learning Python and Jupyer Notebook

If you are not familiar with Python, then you should work through one of the many Python tutorials (e.g., this tutorial) to learn the basics about Python and the packages numpy and pandas. Some code examples that help with the assignments are available here.

How to use Jupyter notebooks is covered in many online tutorials like the Jupyer notebook tutorial.

License

All code and documents in this repository are provided under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.

CC BY-SA 4.0