Naty Clementi
Naty is an Open Source Software Engineer at Coiled, Dask contributor, and an experienced educator. She has taught multiple Dask tutorials at conferences like Scipy, PyData, Women Who Code meetups, as well as periodic live tutorials. Her most recent presentations are Dask Tutorial Scipy 2022 (https://youtu.be/J0NcbvkYPoE) and PyData NYC 2022. In her free time, she likes playing ultimate frisbee, going fly-fishing, and playing video games.
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.