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A year ago, we had Brett Cannon on the show to discuss his blog series about unravelling Python’s syntactic sugar. Brett has written 15 more entries in the series, and he returns to the show this week to continue our conversation. We dive into unravelling ‘async’ and ‘await’ statements and their relationship with Python’s generators.
While working through the series, he has uncovered some issues lying under the surface of CPython. We discuss a couple of these discoveries and how the core developers resolved them.
Brett was recently re-elected to the Python Steering Council, and he talks about how the current direction of the council is shifting. We also discuss how Brett uses Twitter polls to gauge community sentiment and factors it into development decisions.
This conversation covered so many topics that we split it into two episodes. Next week’s episode will continue our discussion.
Course Spotlight: Speed Up Python With Concurrency
Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing.
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Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
4.7
136136 ratings
A year ago, we had Brett Cannon on the show to discuss his blog series about unravelling Python’s syntactic sugar. Brett has written 15 more entries in the series, and he returns to the show this week to continue our conversation. We dive into unravelling ‘async’ and ‘await’ statements and their relationship with Python’s generators.
While working through the series, he has uncovered some issues lying under the surface of CPython. We discuss a couple of these discoveries and how the core developers resolved them.
Brett was recently re-elected to the Python Steering Council, and he talks about how the current direction of the council is shifting. We also discuss how Brett uses Twitter polls to gauge community sentiment and factors it into development decisions.
This conversation covered so many topics that we split it into two episodes. Next week’s episode will continue our discussion.
Course Spotlight: Speed Up Python With Concurrency
Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing.
Topics:
Show Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
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