Tom Augspurger

effective-pandas. Source code for my collection of articles on using pandas.

dask-tutorial-pycon-2018. Jupyter Notebook

PyDataSeattle. For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8

pandas-head-to-tail. Jupyter Notebook

pydata-chi-h2t. Materials for the pandas tutorial at PyData Chicago 2016

pydata-nyc-ph2t. PyData NYC 2017: Pandas Head to Tail

skmca. A scikit-learn compatible implementation of MCA

mtg. Materials for my talk at PyData Chicago 2016

DSADD. A python package for defensive data analysis.

postlearn. Common post-estimation tasks for scikit-learn

Greene_Econometrics. Python

rasterpandas. Jupyter Notebook

dask-tutorial-odsc-2018. Jupyter Notebook

TomAugspurger.github.io. Source code for my site

esip-summer-2021-geospatial-ml. Jupyter Notebook

pc-cng-outreach-2022. Jupyter Notebook

scalable-geospatial-with-dask. Jupyter Notebook

science-thursday. Jupyter Notebook

doing_data_science. This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)

pycps. Download CPS files

noaa-nwm. Jupyter Notebook

acon-2020-pandas. What's new in pandas (AnacondaCON 2020)

pandas-best-practices. Jupyter Notebook

sktransformers. Python

planetary-computer-deep-dives. Jupyter Notebook

scalable-ml-fec. Jupyter Notebook

scalable-ml. Jupyter Notebook

cmip6.

google-open-buildings-example. Python