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Multithreading #14

@apereiroc

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@apereiroc

Hi, thanks for this very powerful package. My analysis group and I are trying to incorporate it into one of our LHCb analyses, the results are very promising.

However, we are missing a multithreading functionality. We have to deal with many millions of events and this can take many hours or days in a single core. I managed to add myself a numba parallel range inside kernels.py/_evaluate_numba function, but would be great to have an option in the constructor or an additional method (or whatever) to do this automatically.

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