This repository provides supplementary material (in the form of Jupyter notebooks and data files) for use with the Cornell Virtual Workshop (CVW) tutorial on Python for Data Science.
The code in this repository was run in a conda environment named pydatasci through a series of installs as follows:
- conda create -n pydatasci numpy pandas matplotlib seaborn scipy networkx bokeh jupyter ipython scikit-learn xlrd openpyxl statsmodels sqlachemy
- conda activate pydatasci
- conda install -c conda-forge textblob tweepy
A YAML file describing versions for these packages as well as their dependencies are in the repository file environment.yml .