OxTalks is Changing
On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
BDI Codemonkeys: Scaling pandas workloads with Dask
Dask is a framework for distributed computing that can scale pandas workloads in a distributed environment. This talk will start with an overview of the pandas 2.0 release and where pandas is headed in the future before diving into Dask DataFrames. Dask DataFrames offer an API that is based on the pandas API. It can jump in when pandas struggles with the size of your data through parallelizing the computations over a cluster with many workers. We will look at the core concepts of Dask DataFrames based on some examples.
Date:
10 October 2023, 12:00
Venue:
Big Data Institute, Old Road Campus OX3 7LF
Venue Details:
Seminar room 1
Speaker:
Patrick Höfler (Coiled)
Organising department:
Big Data Institute (NDPH)
Part of:
BDI seminars
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Graham Bagley
