Quick, name some ways to make your Python code faster.

Did you think of Pi Pi-Pi, the Jit compiled version of Python?

Maybe some async and await parallelism?

How about Scython where you write in a Python-esque language that compiles to machine instructions?

Well, I'm here to add a new one to your vocabulary, NUTCA.

NUCA is like Scython in that your Python code is compiled into true machine instructions

rather than interpreted. But unlike Cython, you can take standard Python 3 that runs just in

regular old Python, C-Python, without change of the syntax at all, and still compile that to

machine instructions. And Kai Hyen is here to take us on the journey

of Nutka, a project he's created and has been overseeing for some time. This is Talk Python to Me.

Episode 172 recorded July 16, 2018.

Music Welcome to Talk Python to me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

This is your host, Michael Kennedy. Follow me on

Twitter where I'm at M. Kennedy. Keep up with the show and listen to past episodes at

TalkPython.fm, and follow the show on Twitter via at Talk Python. This episode is brought to you

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really helps support the show.

Hey everyone. Thanks for tuning in. Like always, I have two things I want to share with you real quick before we get to the interview. First, I owe you an apology. You don't realize it yet,

but you will pretty soon. When I recorded this, the microphone cable that connects my good microphone,

the one I'm talking on now to my computer got bumped or

something, and then the computer just dropped the microphone and fell back to something terrible,

like my iPhone headphones or something like that. Anyway, the audio is not up to where I would like

...