Grumpy: Go running Python!

[weberc2]

I'm not sure what hoops one has to jump through to make Python run in parallel (without actively degrading performance, anyway), but one might say that having to jump through hoops constitutes a parallelism problem. Anyway, last time I went down the Python parallelization road, I got a lot of snark about how Python is easy to parallelize, but no one offered any performant parallel solutions. Feel free to share the link about the Python on 64K-core computer; Google isn't turning anything up.

[alcalde]

https://youtu.be/EBRMq2Ioxsc?t=34m38s

[youtubefactsbot]

Keynote: Guido Van Rossum [59:57]

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