Julia has its own heap of issues, but five minutes is a load of bull:
> time julia -e 'using Plots; plot(rand(10, 5), rand(10))'
________________________________________________________
Executed in 5.77 secs fish external
usr time 5.74 secs 214.00 micros 5.74 secs
sys time 0.57 secs 0.00 micros 0.57 secs
This is also on a fairly old version at that:
> julia -v
julia version 1.6.3
Regardless, this conversation was to be about Cython; it which deserves a lot of praise in its own right as a tool in your toolbox to make the blasted snake run faster.
Also, if you make a sysimage, startup time can be reduced to <1s. This doesn't get a ton of publicity because many of the more active Julia devs are developing lots of packages and/or developing Julia which makes this less applicable to them, but if you are waiting more than a few seconds to load packages that you aren't a developer of, sysimages are a wonderful quality of life improvement.
When's the last time you've tried it? Load times are way better. New improvements for code caching have been merged in 1.8, and native code caching is coming in 1.9. It's a complex problem due to Julia's aggressive specialization and composability, so you can't just expect Julia to do it like other compiled languages.
