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python_packages.list
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38 lines (34 loc) · 1.52 KB
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###################################################################################
##
##
## ======> 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