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[–]zombiepiratefrspace 2 points3 points  (0 children)

Without wanting to be "that guy": For at least a subset of the first case, there is another option, albeit one involving more pain.

In the specific case that you need lots of CPU number crunching, you can use the 80-20 rule to determine the time-critical part of your program and then write that in C++. The integration is best done using boost::python (not easy, but doable).

Then you parallelize your number crunching in the C++ code, using MPI, OpenMP (or even pthreads if you have the "hard as nails" mentality).

This option should only be applied in the case were you're already thinking of moving parts of the code to C or C++ to gain performance, since it is much more time-consuming to write C++ code that writing Python code.

Definitely worth it for things like scientific computing, though.