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# JAX in 100 Seconds

**[Fireship](https://daily.dev/sources/fireship)** · 3 min read · 76 upvotes · 0 comments

## Summary

Jax is an accelerated linear algebra library that allows for high-performance array computing and automatic differentiation. It enforces constraints like immutable arrays and pure functions. Jax can run on accelerated hardware like GPUs and TPUs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=_0D5lXDjNpw>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#math](https://daily.dev/tags/math), [#numpy](https://daily.dev/tags/numpy)

[View this post on daily.dev](https://daily.dev/posts/jax-in-100-seconds-owxesepqj)

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