Data science has been one of the major driving forces behind the explosion of Python in recent years.

It's now used for AI research. It controls some of the most powerful telescopes in the world.

It tracks crop growth and prediction, and so much more. But with all this growth, there's

an explosion of data science machine learning libraries. That's why I invited Pete Garson

on to the show. He's going to share his top 10 machine

learning libraries for Python. After this episode, you should be able to pick the right one for the job.

This is 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 talk python.fm and follow the show

on Twitter via at talk python. Talk Python. Me is partially supported by our training courses.

Here's an unexpected question for you. Are you a C-sharp or dot-net developer getting into Python? Do you work

at a company that used to be a Microsoft shop, but is now finding their way over to the Python space?

We built a Python course Haler made for you and your team. It's called Python for the dot-net developer.

This 10-hour course takes all the features of C-sharp and dot net

that you think you couldn't live without.

Unity framework, lambda expressions, ASP.net, and so on,

and it teaches you the Python equivalent

for each and every one of those.

This is definitely the fastest and clearest path

from C-sharp to Python.

Learn more at talk python.fm slash dot net. That's talk python.fm

slash DOT NET. Pete, welcome to talk Python. Thanks. I'm happy to be here. That's great to have you

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