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People often talk about speed as an advantage of Julia (which is true), but the real secret advantage compared to any other language I've worked with is more of a network effect: composability

I didn't appreciate the importance of this (or the degree to which this just works as a result of multiple dispatch), but there's a good talk about this from JuliaCon 2019 [1] by Stefan Karpinski

[1] https://www.youtube.com/watch?v=kc9HwsxE1OY

One aspect that's underappreciated is that composability can actually lead to speed. If it's super easy to compose your algorithmic package with speed-improvement packages (parallelism, hardware accelerators, custom compilers), you're much more likely to be actually able to use them.

Pretty sure you can call Julia code from python, and vice-versa.

That's why Go will supersede Python. All the new cool and secure small shit is being done in Go.

Please no.

Elaborate?

Go is not gonna replace SciPy

No operator overloading, and scientists ain't gonna look twice at anything without that