James Bourbeau
James Bourbeau is a core maintainer of Dask, experienced educator, and has presented on Dask at various conferences and meetups such as SciPy, PyCon, and PyData Global. His most recent presentation was an introductory Dask tutorial at SciPy 2020, a recording of which can be found at https://www.youtube.com/watch?v=EybGGLbLipI&t.
Sessions
Dask is a Python library for scaling and parallelizing Python code. It provides familiar, high-level interfaces to extend the SciPy ecosystem to larger-than-memory or distributed environments, as well as lower-level interfaces for parallelizing custom algorithms. In this tutorial, we’ll cover advanced features of Dask like applying custom operations to Dask DataFrames and arrays, debugging computations, diagnosing performance issues, and more. Attendees should walk away with a deeper understanding of Dask’s internals, an introduction to more advanced features, and ideas of how they can apply these features effectively to their own workloads.