REANA Environment Jupyter
About
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.
Usage
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 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:
Development
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
More information
For more information about the REANA reusable analysis platform, please see the REANA project home page and the general REANA documentation pages.
Contributors
The list of contributors in alphabetical order: