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Yeah that's about right. Go wont fit the bill if you can't trust the garbage collector (often true for scientific computing), or if you're not running your code on a full OS (like if you were writing an OS / embedded code).

Since Go is easier to learn, it probably couldn't hurt to learn it, then turn to Rust if it's not powerful enough for your use case.

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Why wouldn't you be able to trust the garbage collector? Especially with scientific computing, by which you probably mean numerics, your program shouldn't produce much garbage in the first place.

Sure it will, scientific computing is rife with potentially very large intermediate matrices/tensors of data that need to be deallocated. In C++ I can explicitly free that memory, and in higher level frameworks, like tensorflow, dependency properties of the computational graph as used to figure out the earliest point in time a tensor can be deallocated.

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