Richard Pelgrim presents:
Data Science at Scale with Dask
This tutorial is an introduction to Dask, an OSS Python library for distributed computing. We will walk through the many ways you can apply Dask to scale your Python code to work with larger datasets and/or transcend other compute-bound limitations. The tutorial assumes no prior knowledge of Dask.
This tutorial will cover
- How to scale pandas with Dask
- How to scale NumPy with Dask
- How to parallelise your existing Python code with Dask
- How to scale to the cloud with Dask and Coiled
Github Repo: https://github.com/rrpelgrim/dask-mini-tutorial
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