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Browse documentation for IT-systems used by the European Environment Agency and the Eionet network.



EEA Jupyter Notebook Data Science Stack.

How to run

You need Docker engine installed.

The following command starts a container with the Notebook server listening for HTTP connections on port 8080 with a randomly generated authentication token configured.

docker run -it --rm -p 8080:8888 eeacms/notebook

Take note of the authentication token included in the notebook startup log messages. Include it in the URL you visit to access the Notebook server or enter it in the Notebook login form.

All notebooks are saved in /home/jovyan/ folder in the container. If you want persistency you should mount the folder to local path on the host.

For more advanced usage see base image documentation jupyter/datascience- notebook

What includes

  • Jupyter Notebook 5.0.x
  • Conda Python 3.x and Python 2.7.x environments
  • pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
  • Conda R v3.3.x and channel
  • plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
  • The tidyverse R packages are also installed, including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and broom
  • Julia v0.5.x with Gadfly, RDatasets and HDF5 pre-installed

Packages added by EEA:

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