Besides Revise.JL, what other packages are common parts of “expert” Julia workflow ?
I.e. if I’m to be proficient in Julia, what other packages do I need to learn to use ?
A true expert would rewrite every package from scratch using only ifelse and @label/@goto /s
But seriously, I think there are very much not rules for who gets to call themselves an expert or not. A language is a tool. If you can use that tool to achieve your goals then I would not worry too much about if you are doing it “fancily” enough.
That being said, if you are interested in developing packages and are performance-oriented, I think package authors frequently make good use of Cthulhu.jl and JET.jl and SnoopCompile.jl
Personally I mostly just stick to MLJ.jl and DataFrames.jl, as I am a user not a package author 
1 Like
I suggest a list of basic development tools here, which you can put in your base environment: IntroJulia - package dev
In case the link goes dead, here they are: Aqua, BenchmarkTools, Documenter, JET, JuliaFormatter, OhMyREPL, PackageCompatUI, Revise, TestEnv. And possibly Term
2 Likes
- BenchmarkTools so you can benchmark different alternatives
- Cthulhu so you can dig into inference and constant folding failures
- LoggingExtras so you can do things like turn on debug-level logging for just one module etc *
- TestEnv so you can activate the test time enviroment for testing things interactively *
- The Profile stdlib, and 1 or more of the visualizers mentioned there so you can find where to optimize code.
(* I am biased as I am one of the primary contributors to these packages)
1 Like