Scaling Python with Dask

Data scientists love the wealth of awesome capabilities offered by Python packages like Numpy, Pandas, and Scikit-Learn. However, these capabilities historically have been limited to data that can fit on a single machine.

In this on-demand webinar, watch Anaconda Data Scientist Tom Augspurger demonstrate how Dask makes scaling beyond a single machine while supporting the packages you're already using.

Meet Our Speaker

  • Tom is a software engineer at Anaconda where he works on open-source projects like pandas and Dask. His focus is on data structures, statistics, and machine-learning. He works closely with contributors from various scientific Python projects, including NumPy and scikit-learn. He is the lead maintainer of Dask-ML, a Python library for scalable machine learning. Tom has a masters in economics from the University of Iowa.
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