Server Environment

In the first version of Europa Notebooks, a standard Python 3 environment is created, that comes preinstalled with a large set of popular libraries for data science and engineering.

The core set of preinstalled tools and libraries include:

• Python 3.x

• Pandoc and TeX Live for notebook document conversion

• git, emacs, jed, nano, tzdata, and unzip

• pandas

• numexpr

• matplotlib

• scipy

• seaborn

• scikit-learn

• scikit-image

• sympy

• cython

• patsy

• statsmodel

• cloudpickle

• dill

• numba

• bokeh

• sqlalchemy

• hdf5

• vincent

• beautifulsoup

• protobuf

• xlrd

• ipywidgets for interactive visualizations in Python notebooks

• Facets for visualizing machine learning datasets

• yellowbrick for machine learning visualisation

• boto3 for S3 integration

• requests, requests-toolbelt - HTTP library

• nose - unit testing framework for Python

• atlasfs

Additional libraries can be installed from within a notebook: