Irina Truong
where else to find them
github:j-bennet
what they talk about
where they keep going back
no series more than once — all 1 in the filters
on a stage with
never shared a talk
who talks about the same things
one talk is not yet a subject
| title | conference | date |
|---|---|---|
| Adapting from Spark to Dask: what to expect | PyCon 2018 | 2018-05-11 |
Benchmarks show concrete wins: on a laptop 100M rows runs ~3 minutes on Spark versus ~40 seconds with Dask, and 1B rows drops from ~45 minutes to ~16 minutes… | ||
| nothing matches | ||