Introducing JAX: a faster and more efficient Numpy

Speaker: Ferran Jiménez
Event: Python November Meetup: JAX vs Numpy & Microservices and distributed data
Date: 24 November 2022
Type: Talk
Language: English
Length: 20 minutes
Source: The announcement of the day on Meetup

About this talk

JAX is an Open Source Python library created by Google and already adopted by DeepMind. JAX supports automatic differentiation and employs XLA, resulting in faster numerical computing than Numpy.