How many Python developers do you know that learned Python quickly, but then plateaued pretty quickly as well?

Maybe this is someone you worked with, or maybe it's even you.

Python's clean and simple syntax can mean it's easy to learn, but hard to master.

After all, if you learned it in a week, what else is there to this language?

How much more do you need to dig into it?

Well, plenty.

And Dan Bader is here to share his very popular Python tricks with us. You'll learn to look deeper for more than just the how,

but the why and when of many of Python's more subtle features. This is Talk Python to Me,

episode 141 recorded December 4th, 2017.

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 by Linode and Rollbar.

Thank them both for supporting the show by checking out what they have to offer during their segments.

Talk Python to me is partially supported by our training courses.

Python's async and parallel programming support is highly underrated.

Have you shied away from the amazing new async and await keywords because you've heard

it's way too complicated or that it's just not worth the effort?

With the right workloads, a hundred times speed up is totally possible with minor changes

to your code.

But you do need to understand the internals.

And that's why our course, Async techniques and examples in

Python, show you how to write async code successfully as well as how it works. Get started with

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