reana-env-jupyter provides a container image with encapsulated runtime execution
environment for Jupyter notebook based data analyses. It is
basically an example how a user could encapsulate a notebook environment using Jupyter
1.0 notebooks with IPython 5.0 kernel running on CentOS7 platform. The container also
provides several convenient Python packages such as Pandas
data analysis library or Papermill notebook
parametrisation and execution uitlity.
reana-env-jupyter was developed for use in the REANA reusable
and reproducible research data analysis platform.
You can use reana-env-jupyter provided "as is" and simply mount your own Python code
and notebooks to the running container.
Alternatively, you can also use reana-env-jupyter as a base image for notebook-based
analyses. Just start your Dockerfile from this base image and add your own custom code
on top:
FROM docker.io/reanahub/reana-env-jupyter
ADD my-notebook.ipynb /code/
[...]
Here are several complete examples on how to use reana-env-jupyter environment in your
analyses:
If you would like to contribute to reana-env-jupyter development, you can take
advantage of the provided Makefile:
$ make build # build a new version of the container image
$ make test # test the built image
$ make push # push it to Docker Hub
For more information about the REANA reusable analysis platform, please see the REANA project home page and the general REANA documentation pages.