What do you think of bokeh: https://github.com/DataWookie/MonthOfJulia

Does this work on windows? Rapydscript does not IIRC

Yes it currently works and is systematically tested on Windows and Linux. OSX is planned too. Btw RapydScript also works on Windows, you'll need NodeJS to run it.

Call the libraries with Rpy2, or build models using a DAG of functions and distributions with pymc 3

Thanks i'll check that out.

Have you seen numba? Compiles numerical python approaching fortran speeds

Nuitka is already faster than Cpython and it seems a majority of the speed work has yet to be done.

Julia will when it can compile to web assembly

Awesome!

A while back there was some talk of native excel-python integration. Any chance that is in the pipes, or is MS sticking to R in that sense?

You can vote for that feature at https://excel.uservoice.com/forums/304921-excel-for-windows-...

Exciting work! Is pyjion exploratory or is MS determined to see this through?

Yes. :)

It's exploratory in the sense that we are seeing if this general approach works for CPython. But if this exploratory work shows promise, then we will see it through. And since I'm also a member of the Python development team I always want to see Python be faster and succeed more. :)

Sweet, new Microsoft is awesome!

Pyston seems to be catching up to PyPy fairly quickly ...not sure if there is anything transferable to pyjion, but if you haven't done so might be worth checking out.

Also for getting around the GIL, PyParallel seems to have a really interesting (and seemingly successful approach: http://pyparallel.org/

Its being worked on by one of the Guy's at continuum...and It's definitely in continuum's best interest to help python's future so I'm sure they wouldn't mind collab.

Trent already replied about PyParallels (and yes, we are aware of his work).

We are also aware of Pyston. There might be a chance that they could end up using our JIT hooks, but they also started a full year before us so they are not currently structured to plug into CPython like we're trying to through the API we're designing (although hopefully they will be able to, but who knows).

PyParallel and something like Pydjion are definitely complementary technologies; PyParallel focuses on exploiting things like async I/O and simultaneous multithreading, ensuring that the most optimal technique is being used to go from hardware to OS to Python.

Once we're back into Python, though, Pyjion's JIT'd version of whatever would kick in and do its thing. Perfect combo.

What sort of diet and supplements?

Nuitka?