################################################################################### ## ## ## ======> Separator between package name and # is TWO TAB <================ ## ## ################################################################################### # #A list of python packages to install in the image # # This file is a commented list of packages to install, with names as they appear in pip # # # package_name #A comment or link about the package. Note that separation between package name and # is TWO TAB # ### Solution for some Python 2/3 compatibility issues: # # package_name Python2 #This package will only be installed for python2 # package_name Python3 #This package will only be installed for python3 #Essentials pandas #Pandas http://pandas.pydata.org/ numpy #Numpy http://www.numpy.org/ scipy sklearn #Scikit-learn http://scikit-learn.org/stable/ # Extra xgboost #XGBoost - #Plotting libraries seaborn #Eye candy plotting library http://seaborn.pydata.org/ bokeh #Yet another eye candy plotting library http://bokeh.pydata.org/en/latest/ geopandas #GeoPandas is an open source project to make working with geospatial data in python easier. http://geopandas.org/ wordcloud # WordCloud library (https://pypi.python.org/pypi/wordcloud) gmaps #Plot things on Google Maps inside Jupyter https://github.com/pbugnion/gmaps (NB: requires some extra stuff to be installed manually) ipywidgets #Dependency for, among others, gmaps - https://github.com/ipython/ipywidgets graphviz #Dependency for XGBoost needed to draw trees