JAX Fundamentals: NumPy Power-Up

Machine Learning

This course introduces JAX, a high-performance numerical computation library. You'll learn how JAX extends NumPy's familiar API with key features like immutability, pure functions, automatic differentiation for gradient-based optimization, and just-in-time (JIT) compilation for significant speedups on accelerators like GPUs and TPUs.

JAX

Python

See path

5 lessons

21 practices

3 hours

Coding and Data Algorithms

Course details

JAX Arrays: The Immutable Successor to NumPy

Preview

Creating JAX Arrays from Scratch

Basic Operations with JAX Arrays

Embracing Immutability with JAX Arrays

Mastering JAX Functional Array Updates

Benchmarking JAX JIT Compilation Performance

Next Course: Advanced JAX: Transformations for Speed & Scale

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11