[lmm]

When we say JVM code is not efficient in terms of FLOPs we're talking about a factor of 2 or so though, not really the same as the factor of 20+ you lose by implementing numeric code in pure Python. So Scala gives you a 10x faster cycle during early development. Maybe it's fast enough that you don't need that last factor of 2, or maybe just JNIing a few core operations is enough (you can also do some tricks with the advanced type system; with NumPy if it looks like Python iteration then it is, whereas with something like Breeze you can potentially have something that looks like Scala iteration but won't actually copy the data back and forth). But in the cases where you do need to push things right down into Fortran, Scala is just as good a glue language as Python is.

[srean]

> When we say JVM code is not efficient in terms of FLOPs we're talking about a factor of 2 or so though, not really the same as the factor of 20+

Not so in my experience. Write a matrix multiply in pure Java, and pure C, C++, Fortran. The difference would easily be north of 5X, typically more.

Regarding JNI, please see the root of the comment tree. Rarely have I seen more stinky garbage. Its hopeless if you have to go back and forth across the bridge. If that be so I might as well be on the other side of the bridge.

JVM is fantastic, but if you are doing number crunching and performance matters, then JVM is a wrong choice.