January 6, 2020

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PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter

PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter

Hundreds of PayPal's data scientists, analysts, and developers use Jupyter to access data spread across filesystem, relational, document, and key-value stores, enabling complex analytics and an easy way to build, train, and deploy machine learning models. Romit Mehta and Praveen Kanamarlapudi explain how PayPal built its Jupyter infrastructure and powerful extensions.
Talk Title PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter
Speakers Romit Mehta (PayPal), Praveen Kanamarlapudi (PayPal)
Conference JupyterCon in New York 2018
Conf Tag The Official Jupyter Conference
Location New York, New York
Date August 22-24, 2018
URL Talk Page
Slides Talk Slides
Video

PayPal Notebooks powered by Jupyter is new major ecosystem for data analytics and exploration at PayPal, with kernels, magics, and utilities for analytics and engineering. Hundreds of PayPal’s data scientists, analysts, and developers use Jupyter to access data spread across filesystem, relational, document, and key-value stores, enabling complex analytics and an easy way to build, train, and deploy machine learning models. Romit Mehta and Praveen Kanamarlapudi explain how PayPal built its Jupyter infrastructure and powerful extensions. Topics include:

ecosystem data science data analytics analytics infrastructure paypal jupyter machine learning book
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