Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
#369: Getting Lazy with Python Imports and PEP 690
June 16, 2022
00:56:26
47.68 MB
Downloads: 0
Python is undergoing a performance renaissance. We already have Python 3.11 20-40% faster than even Python 3.10. On this episode, we'll dive into a new proposal to make Python even more efficient using lazy imports laid out in PEP 690. We have all three folks involved on the episode: Carl Meyer, Germán Méndez Bravo, and Barry Warsaw. Are you ready to get into making Python faster still? Let's dive in.
Links from the show
Guests
Barry Warsaw: @pumpichank
Germán Méndez Bravo: @germbravo
Carl Meyer: @carljm
PEP 690: peps.python.org
PEP 690 Discussion: discuss.python.org
Cinder project: github.com
Python Lazy Imports With Cinder on the Meta blog: developers.facebook.com
Python performance renaissance:
#339: Making Python Faster: talkpython.fm
Performance benchmarks for Python 3.11 are amazing: phoronix.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Twitter: @talkpython
Follow Michael on Twitter: @mkennedy
Sponsors
Sentry Error Monitoring, Code TALKPYTHON
Talk Python Training
AssemblyAI
Links from the show
Guests
Barry Warsaw: @pumpichank
Germán Méndez Bravo: @germbravo
Carl Meyer: @carljm
PEP 690: peps.python.org
PEP 690 Discussion: discuss.python.org
Cinder project: github.com
Python Lazy Imports With Cinder on the Meta blog: developers.facebook.com
Python performance renaissance:
#339: Making Python Faster: talkpython.fm
Performance benchmarks for Python 3.11 are amazing: phoronix.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Twitter: @talkpython
Follow Michael on Twitter: @mkennedy
Sponsors
Sentry Error Monitoring, Code TALKPYTHON
Talk Python Training
AssemblyAI