Continuation of previous timestamps for day 2 track 1
Since it was split during the conference - this is video 2
Hope it helps a bit
00:00:00 - Welcome
00:00:45 - 100X Faster NetworkX: Dispatching to GraphBLAS - Jim Kitchen, Erik Welch, Mridul Seth
00:30:21 - Vaex: the perfect DataFrame Library for Python data apps - Jovan Veljanoski, Maarten Breddels
01:00:12 - Scale Data Science by Pandas API on Spark - Xinrong Meng, Takuya Ueshin
01:29:05 - Keynote - Quincy Larson
02:31:55 - Everything you need to know about Transformer Models - Mike Rothenhäusler
03:01:10 - You don't need a cluster for that: using embedded SQL engines for plotting massive datasets on a laptop - Eduardo Blancas
Continuation of previous timestamps for day 2 track 1 Since it was split during the conference - this is video 2
Hope it helps a bit
00:00:00 - Welcome 00:00:45 - 100X Faster NetworkX: Dispatching to GraphBLAS - Jim Kitchen, Erik Welch, Mridul Seth 00:30:21 - Vaex: the perfect DataFrame Library for Python data apps - Jovan Veljanoski, Maarten Breddels 01:00:12 - Scale Data Science by Pandas API on Spark - Xinrong Meng, Takuya Ueshin 01:29:05 - Keynote - Quincy Larson 02:31:55 - Everything you need to know about Transformer Models - Mike Rothenhäusler 03:01:10 - You don't need a cluster for that: using embedded SQL engines for plotting massive datasets on a laptop - Eduardo Blancas