Giles Weaver
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- PyData London2 editions2016–2017
on a stage with
who talks about the same things
- Ian Ozsvald17 talks
- Frank Kelly4 talks
- Dharhas Pothina5 talks
- Matt Harrison16 talks
- Giovanni Lanzani4 talks
- Patrick Hoefler11 talks
| title | conference | date |
|---|---|---|
| Pandas 2, Dask or Polars? Tackling larger data on a single machine | PyData Global 2023 | 2023-12-06 |
Pandas 2 adds Arrow types and copy‑on‑write (to be default later) and on one dataset shows 82 million rows → 39 GB (numpy) vs 11 GB (Arrow) but mixed perf… | ||
| Machine learning with ventilator data | PyData London 2017 | 2017-05-05 |
Processes 100Hz dual-channel ventilator data from neonatal ICU traces, about 160 ventilator days collected (each day ≈600–700 MB) producing roughly 43,000… | ||
| Data Driven Diagnosis of Alzheimer's Disease | PyData London 2016 | 2016-05-06 |
A citizen science pipeline scrapes the Alzheimer’s Society forums with BeautifulSoup and produces user- and post-level dataframes (about 3,600 threads and… | ||
| Data Driven Diagnosis of Alzheimer's Disease | PyData London 2016 | 2016-05-06 |
Scraped Alzheimer Society UK forums yielding 3600 threads and 78,000 posts, cleaned with BeautifulSoup and aggregated by user; features include… | ||
| Statistically Solving Sneezes and Sniffles Step by Step | PyData London 2016 | 2016-05-06 |
Project records a year of one-person, timestamped symptom logs with GPS and backs them up to Segment IO, plus external London Air, weather, MyFitnessPal and… | ||
| nothing matches | ||