Working with the Python DASK library

Date And Time

Wed, 16 October 2019

10:00 AM – 11:00 AM PDT

Free / Online

Register Here


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

Webinar Instructions:

  • Click the green “Register’ button on this page to register for this event. All registrants will be emailed the connection instructions for this webinar.

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