Date And Time
Wed, 16 October 2019
10:00 AM – 11:00 AM PDT
Free / Online
Python has grown to become the dominant language both in data analytics and general programming.
Dask provides ways to scale Pandas, Scikit-Learn, and Numpy workflows with minimal rewriting and integrates well with these tools so that it copies most of their API and uses their data structures internally. Moreover, Dask is co-developed with these libraries to ensure that they evolve consistently, minimizing friction caused by transitioning from workloads on a local laptop, to a multi-core workstation, and to a distributed cluster.
In this webinar, we will walk through some of the features of Dask, and discuss strategies for using Dask on both your laptop and on Compute Canada clusters.
- Chris Want, Programmer / Analyst, Compute Canada
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