06-03, 16:30–17:10 (Europe/London), Beaumont
This discussion session is for anyone using Python for higher performance work. You probably use Pandas, NumPy, Polars, Dask, Vaex, Modin, cuDF or any of the related tools, you've got questions, you want to know what other people are using, what's pragmatic and where new opportunity might exist.
This will be a guided discussion, we'll vote on topics at the start of the session and then host Ian will work through the list.
This discussion session is for anyone using Python for higher performance work. You probably use Pandas, NumPy, Polars, Dask, Vaex, Modin, cuDF or any of the related tools, you've got questions, you want to know what other people are using, what's pragmatic and where new opportunity might exist.
This will be a guided discussion, we'll vote on topics at the start of the session and then host Ian will work through the list.
Previous knowledge expected
Ian is a Chief Data Scientist, has helped co-organise the annual PyDataLondon conference raising $100k+ annually for the open source movement along with the associated 11,000+ member monthly meetup. Using data science he's helped clients find $2M in recoverable fraud, created the core IP which opened funding rounds for automated recruitment start-ups and diagnosed how major media companies can better supply recommendations to viewers. He gives conference talks internationally often as keynote speaker and is the author of the bestselling O'Reilly book High Performance Python (2nd edition). He has over 25 years of experience as a senior data science leader, trainer and team coach. For fun he's walked by his high-energy Springer Spaniel, surfs the Cornish coast and drinks fine coffee. Past talks and articles can be found at: