A collection of sample notebooks to demonstrate what can be done with Jupyter notebooks in a variety of subject areas.
The easiest way to run these sample notebooks is to run them on the JupyterHub set up for the Callysto project. The hub is available at hub.callysto.ca and simply requires a Google account to log in. Alternatively, if you have Jupyter set up locally, you can also run these sample notebooks there or use the Docker setup instructions provided below.
Once logged in at hub.callysto.ca, you can download all the notebooks in this repo by clicking on this link.
This will bring all the folders and notebooks into your hub environment.
This repository provides a completely encapsulated development environment via Docker. You can download Docker for your operating system here.
To build the image you'll be running (based off of Continuum Analytics' Anaconda image), simply run:
bin/buildOnce this has finished, running:
bin/notebookwill start up the Docker container and run jupyter notebook within it. Any files in your project folder will be accessible under /opt/callysto within the Docker container.
If you need to troubleshoot issues with package installations or other setup, sometimes it's easiest to just start up in a shell, which you can do via:
bin/bashFrom this entry point, you can run your notebook via:
/opt/conda/bin/jupyter notebook --notebook-dir=/opt/callysto \
--ip='*' --port=8888 --no-browser --allow-root \
--NotebookApp.token=''This is the same command that bin/notebook runs by default.
Once you have figured out what packages you need, you can add them to the appropriate line in the Dockerfile, or you can add a new RUN line if you just want to use cached versions of the previous steps.
lib: Common code useful for all notebooks
notebooks: Individual notebooks