#107: Python concurrency with Curio

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 15 April 2017

⏱️ 61 minutes

🔗️ Recording | iTunes | RSS

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Summary

You have heard me go on and on about how Python 3.5's async and await changes the game for asynchronous programming in Python. But what exactly does that mean? How does it work in APIs? Internally? Today I'm here with David Beazley who has been deeply exploring this space with his project Curio.

Transcript

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0:00.0	You've heard me go on and on about how Python 3-5s, Async and Await features change the game for asynchronous programming in Python.
0:07.8	But what exactly does that mean?
0:09.4	How does that look in the APIs?
0:11.6	How does it work internally?
0:13.7	Today, I'm here with David Beasley, who has been deeply exploring the space with his project Curio.
0:19.7	And that's what this episode of Talk Python to me is all about.
0:23.0	It's episode 107 recorded April 14th, 2017.
0:28.5	I'm a first developer.
0:32.4	In many senses of the word, because I make these applications, but I also use these verbs
0:37.2	to make this music.
0:38.7	I constructed line by line, just like when I'm coding another software design.
0:43.2	In both cases, it's about design patterns.
0:46.3	Anyone can get the job done.
0:47.7	It's the execution that matters.
0:49.4	I have many interests.
0:50.7	Sometimes you can flage.
0:51.7	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
0:59.1	This is your host, Michael Kennedy.
1:00.7	Follow me on Twitter where I'm at M. Kennedy.
1:02.8	Keep up with the show and listen to past episodes at Talkpython.fm.
1:06.4	And follow the show on Twitter via at Talk Python.
1:09.9	This episode is brought to you by Rollbar and Hired.
	...

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