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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?
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/
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)