Ask HN: Best resources for learning Julia?

[npr11]

Julia have just released v1.0, and I would like to try it out! (https://julialang.org/)

Usually I use Python for scientific computing, and find it good for machine learning, and I know some R/Stan which I find better for Bayesian statistics. I'm hoping Julia will be the best of both, but the homepage doesn't have great resources for getting started - any recommendations?

[ChrisRackauckas]

I run a workshop series specifically for this demographic and the notes are online:

http://ucidatascienceinitiative.github.io/IntroToJulia/

It's mostly problem-based. I hope that by showing you a manual, some resources I like to use, some problems, and then some high level discussions you can get up and working in no time. Sources for "how to write a function" can be found elsewhere: this resource starts assuming you can read a manual if you know what to search for.

(Note that there are some v1.0 updates still necessary, but most works)

[reacharavindh]

https://benlauwens.github.io/ThinkJulia.jl/latest/book.html

Introduction to Julia - By Jane Herriman https://www.youtube.com/watch?v=BYW2J2WWkj8

Quick view of Julia in one program: https://learnxinyminutes.com/docs/julia/

Working with data using Julia - https://www.analyticsvidhya.com/blog/2017/10/comprehensive-t...

Rest of Julia tutorials in one-place: https://julialang.org/learning/