Building Common Standards for Python Data APIs

November 1st, 2021 |
Image for FaceBook

 
Share this post:
Facebook | Twitter | Google+ | LinkedIn | Pinterest | Reddit | Email
 
This post can be linked to directly with the following short URL:


 
The audio player code can be copied in different sizes:
144p, 240p, 360p, 480p, 540p, Other


 
The audio player code can be used without the image as follows:


 
This audio file can be linked to by copying the following URL:


 
Right/Ctrl-click to download the audio file.
 
Subscribe:
Connected Social Media - iTunes | Spotify | Google | Stitcher | TuneIn | Twitter | RSS Feed | Email
Intel - iTunes | Spotify | RSS Feed | Email
Code Together - iTunes | Spotify | Google | Stitcher | SoundCloud | RSS Feed | Email
 

Adoption of Python has been enormous over the last decade. Why? It’s easy to use, accessible, versatile and can be used for AI, machine learning, data analytics, data visualization, and all types of science. Tune into how 3 experts are involved in building common standards for Python data APIs that can help users use a large collection of libraries to develop high-performance code without limitations on adding exotic features. Regarding the huge growth of custom libraries, “it was more a social problem than a technical problem…we should avoid writing more code. Writing yet another library is very likely not going to be the answer.” The Python Data API Consortium was organized to bring people together and solve a fundamental problem to deliver a common standard. Listen in. [26:32]

Guests:
Travis Oliphant, Quansight’s CEO and the creator of SciPy, NumPy, and Numba; founder/director of Anaconda, and founder of NumFOCUS
Ralf Gommers, co-director of Quansight Labs and director of the Python Data API Standards consortium
Areg Melik-Adamyan, principal engineer and engineering manager at Intel

To learn more
Python Data API Consortium (data-apis.org)
Intel oneAPI AI Analytics Toolkit

Transcript Read/Download the transcript.
 

Tags: , , , , , , , , , , , , , ,
 
Posted in: Code Together, Intel