Tom Augspurger
where else to find them
what they talk about
where they keep going back
no series more than once — all 2 in the filters
on a stage with
- Jeff Rebackonce
- Marc Garciaonce
who talks about the same things
- Dharhas Pothina5 talks
- Matthew Rocklin13 talks
- Ian Ozsvald17 talks
- Matt Harrison16 talks
- Pavithra Eswaramoorthy5 talks
- Amanda Moran7 talks
| title | conference | date |
|---|---|---|
| Introduction to pandas | PyData New York City 2019 | 2019-11-04 |
This tutorial is a hands on introduction to pandas. pandas is a fast, powerful, flexible and easy to use data analysis and manipulation tool, built on top of… | ||
| Scalable Machine Learning with Dask | PyData New York City 2019 | 2019-11-04 |
Dask scales NumPy, pandas and scikit-learn onto a cluster so code stays familiar while data and compute move out of core; examples include a cluster of 100… | ||
| Mind the Gap! Bridging the pandas – scikit learn dtype divide | PyData Chicago 2016 | 2016-08-26 |
Claim is that pandas holds labeled, heterogeneous, messy tabular data while scikit-learn expects homogeneous NumPy arrays, and that mismatch breaks workflows… | ||
| Pandas: .head() to .tail() | PyData Chicago 2016 | 2016-08-26 |
Hands-on pandas tutorial that actually shows what is done: cloning the GitHub repo, running Jupyter notebooks, using pandas data structures and NumPy… | ||
| nothing matches | ||