Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas
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README.md
pydata-tutorial-simpsons-ANSWERS.html
pydata-tutorial-simpsons-ANSWERS.ipynb
pydata-tutorial-simpsons-CLEAN.html
pydata-tutorial-simpsons-CLEAN.ipynb
pydata-tutorial-simpsons-SESSION.ipynb
pydata-tutorial-simpsons-data-cleaning.html
pydata-tutorial-simpsons-data-cleaning.ipynb
pydata-tutorial-simpsons.ipynb
pydata_simpsons.py

README.md

pydata-simpsons

A collection of jupyter notebooks and a utility python script created for the PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons in Pandas.

Notebooks:

  • pydata-tutorial-simpsons-ANSWERS.ipynb: version with answers included
  • pydata-tutorial-simpsons-CLEAN.ipynb: version with answers omitted (recommended for people who want to do the exercises)
  • pydata-tutorial-simpsons-SESSION.ipynb: version used during tutorial session (annotated afterward)
  • pydata-tutorial-simpsons-data-cleaning.ipynb: notebook used to clean up the data (incomplete)

Python script with utilty functions used in the notebooks:

  • pydata_simpsons.py

There are also HTML versions of all the notebooks, provided for the benefit of anyone not able to run the notebooks.

Requirements:

  • Latest versions of pandas and jupyter notebook (recommended: use Anaconda)
  • data.world Python SDK
    • conda install -c conda-forge datadotworld-py (if using Anaconda)
    • pip install git+git://github.com/datadotworld/data.world-py.git (if not using Anaconda)
  • a data.world account and an API key (via the data.world Advanced Settings page)