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This course covers a selection of scientific programming tools occasionally used in Python programming at the advanced level. Students will work with multi-dimensional data and upgrade existing workflows to leverage parallel computing. Topics and exercises are selected to be relevant for data science applications. Tools are drawn primarily from the libraries Xarray and Dask.
Participant Information
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If you are registering as a TAMUS Member, please use your System email address as your participant email address.