Ondrej Kokes
where else to find them
no profile links on file
what they talk about
where they keep going back
- PyData Amsterdam2 editions2018–2019
on a stage with
never shared a talk
who talks about the same things
- Yousry Mohamed4 talks
- Dharhas Pothina5 talks
- Marcin Szymaniuk11 talks
- Han Wang13 talks
- Dean Wampler29 talks
- Frank Munz8 talks
| title | conference | date |
|---|---|---|
| High Performance Data Loss | PyData Fest Amsterdam 2020 | 2020-06-15 |
Concrete failures with Apache Spark parsing CSVs produce silently wrong results: invalid dates overflow to other calendar days, type mismatches nullify entire… | ||
| High on Cardinality, Low on Memory | PyData Amsterdam 2019 | 2019-05-10 |
Four concrete tools and what they actually buy: plain bitsets for true/false arrays, Roaring using RLE to compress sparse bitmaps, Bloom filters are… | ||
| DataFrames: scaling up and out | PyData Amsterdam 2018 | 2018-05-25 |
Pandas works in memory so the checklist is: avoid per-row Python loops and use vectorized ops to get 100x speedups; load only needed columns, use chunking or… | ||
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