julia training slides for 2022-06-08

opening early, there's still a tiny bit of TODOs

Guess this is valid as a 1st draft now

2022/2022-06-08_JuliaForNewcomers/slides/distributed.md

@@ -51,6 +51,9 @@ newVector = pmap(function, oldVector)
   - use `map`
   - use `reduce` or `mapreduce`
   - parallelize programs using `pmap` and `dmapreduce` (DistributedData.jl)
+- Decompose more advanced programs into *tasks with dependencies*
+  - Dagger.jl
+  - `make -jN` is a surprisingly good tool for parallelization!