Build Common Standards for Python* Data APIs

ID 738162
Updated 11/5/2021
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Travis Oliphant
CEO, Quansight; creator of SciPy, NumPy, and Numba*; founder and director, Anaconda*; founder, NumFOCUS*

Ralf Gommers
Codirector, Quansight Labs; director, Consortium for Python* Data API Standards

Areg Melik-Adamyan
Principal engineer and engineering manager, Intel

Adoption of Python has been enormous over the past decade. It's easier to use, accessible, and versatile. You can use it for AI, machine learning, data analytics, data visualization, and all types of science. Learn from experts involved in building common standards for Python data APIs. Find out how they use a large collection of libraries to develop high-performance code without limitations on adding exotic features.

The speakers discuss the huge growth of custom libraries and avoiding writing more code. They've organized the Consortium for Python Data API Standards to bring people together to solve the fundamental challenge of delivering a common standard. Listen in.


Consortium for Python Data API Standards

Intel® oneAPI AI Analytics Toolkit

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