#339: Making Python Faster with Guido and Mark

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 4 November 2021

⏱️ 61 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

There has a been a bunch of renewed interested in making Python faster. While for some of us, Python is already plenty fast. For others, such as those in data science, scientific computing, and even the large tech companies, making Python even a little faster would be a big deal. This episode is the first of several that dive into some of the active efforts to increase the speed of Python while maintaining compatibility with existing code and packages.

Transcript

Click on a timestamp to play from that location

0:00.0	There's been a bunch of renewed interest in making Python faster.
0:03.4	While for some of us, Python is already plenty fast.
0:06.1	For others, such of those in data science, scientific computing, and even large tech companies,
0:11.3	making Python even a little faster would be a big deal.
0:14.6	This episode is the first of several that dive into some of the active efforts to increase
0:19.7	the speed of Python while maintaining compatibility with existing code and packages.
0:24.9	And who better to help kick this off than Gido Van Rossum and Mark Shannon?
0:29.3	They both join us to share their project to make Python faster.
0:32.7	I'm sure you'll love hearing about what they're up to.
0:35.3	This is Talk Python to Me, episode 339, recorded November 1st, 2021.
0:57.4	Welcome to Talk Python, a weekly podcast on Python.
0:59.1	This is your host, Michael Kennedy.
1:05.3	Follow me on Twitter where I'm at M. Kennedy and keep up with a show and listen to past episodes at TalkPython.fm.
1:08.4	And follow the show on Twitter via At Talk Python.
1:12.0	We've started streaming most of our episodes live on YouTube.
1:16.6	Subscribe to our YouTube channel over at TalkPython.fm slash YouTube to get notified about upcoming shows and be part of that episode.
1:20.3	This episode is brought to you by Shortcut and Linode, and the transcripts are sponsored by
1:25.8	Assembly AI.
1:28.4	Mark Guido, welcome to Talk Python to Me.
1:31.2	Fantastic to have you here.
1:33.0	I'm so excited about all the things that are happening around Python performance.
1:37.5	I feel like there's just a bunch of new ideas springing up and people working on it and it's exciting times.
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Michael Kennedy, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Michael Kennedy and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.