OxTalks will soon be transitioning to Oxford Events (full details are available on the Staff Gateway). A two-week publishing freeze is expected to start before the end of Hilary Term to allow all future events to be migrated to the new platform. During this period, you will not be able to submit or edit events on OxTalks. The exact freeze dates will be confirmed on the Staff Gateway and via email to identified OxTalks users.
If you have any questions, please contact halo@digital.ox.ac.uk
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.
