In order to install the Python Packages required for a generic Data Science build, one could use the generic Anaconda, or if you're like me and you hate downloading a lot of useless stuff and controlling your environment and installed packages, you can simplily use this list by putting it into a requirements.txt file and running pip install -r requirements.txt.
# Generic Math
numba
numpy
scipy
cython
# Notebooks
jupyter
jupytext
jupyter_contrib_nbextensions
# Data Science
dask
pandas
statsmodels
xgboost
# Data visualization
holoviews
datashader
matplotlib
matplotlib_venn
seaborn
bokeh
# Web App and REST
requests
flask
# Machine & Deep Learning
tensorflow
scikit-learn
# Time Series (Only in Linux)
# pystan
# fbprophet