Dash, Dask, and RAPIDS: Plotly & Coiled CEOs Discuss Partnering

With Jack Parmer, Matthew Rocklin, Xing Han Lu and JP Hwang

Wednesday July 14 2021 @ 2pm EDT

Dask and RAPIDS have emerged as the de facto Python technologies for parallel CPU and GPU computing. With Dash + Dask data apps, explorational analysis by business users can now be scaled to terabytes of data in realtime - far beyond the limits of traditional BI tools like Tableau.

How to build your own Dash + Dask apps will be illustrated through a series of open-source examples. The CEOs of Plotly and Coiled will discuss the partnership and roadmap between the two companies. Additional topics covered by our Machine Learning experts:

  • Building your first Dash + Dask app through 3 open-source examples
  • Productionizing Dash + Dask apps with Dash Enteprise and Coiled
  • Architecture Overview
  • Running computations in GPU memory through a Dash app UI
  • About Jack Parmer

    Jack Parmer studied Engineering Physics at Stanford University, publishing his first physics paper at age 21. After graduating, Jack ran the data science program for a solar cell manufacturer before cofounding Plotly. He lives in Montréal with his partner and daughter.

    About Matthew Rocklin

    Matthew attended undergrad at UC Berkeley studying Physics/Math/Astronomy then joined the Computer Science department at the University of Chicago as a PhD student. After five years at Anaconda where he helped create Dask, he moved to NVIDIA and led a team of developers that would continue to work on Dask and enable accelerated computing within Python more generally. Today, as CEO of Coiled, the company's mission remains providing accessibility to scalable computing to everyone.

    About Xing Han Lu

    Xing Han Lu is the Lead AI/ML Engineer at Plotly. He created Dash Cytoscape, an open-source network visualization component. Previously, he worked for Deloitte, where he specialized in summarization engines. He has also led IMIA Conference & AAAI Workshop papers for the McGill Clinical and Health Informatics lab. Some of his projects can be found on Kaggle, where he is a Kernels Grandmaster.

    About JP Hwang

    JP Hwang is a freelance developer and data communicator. After starting his career as a consulting engineer in Sydney, JP has had a varied career including stops as a patent attorney and an entrepreneur. These days, JP leverages his diverse skill set to help his clients understand and effectively communicate with data. JP has been helping his clients to develop data insights and create data visualisations to communicate those insights to their stakeholders.