Julia 1.4
Something about Julia from me.
I was big Julia fan using it for last 1.5 year and in my company we are using Julia for data preprocessing and parsing hundred of GB's of data.
(We also use Python for ML and start to moving julia code to Nim for data prepro)
If u consider Julia as ur next language dont use it to any medium to big project outside pure scientific purposes it just isnt ready yet. 
We have about 3.5k loc in Julia at the moment for our preprocessing service and as much problems as we have with GC in Julia i never saw in any other language:
random crashesh, memory leaks, big slowdowns with long running processes and there is a lot of topic on julia forum about that still not solved.
Julia is beautiful and easy to use but it is nowhere near stable and/or fast as any other "new" languages (RUST, Nim, Golang, even Swift).
And if u consider using Julia for Deep Learning then best performance and stability in this order are:
Pytorch,
Tensorflow/MXNet/(JAX),
Nothing,
Flux.
Its a long way to go for Flux before it'll be even close in usability considering other flag frameworks.