Python's Concurrency Revolution
Python's concurrency story is changing at last
Giovanni BarillariGuestMichael KennedyHostI recently did a post over on my blog, personal blog, calling cutting Python web app memory by 31%.
And I did a ton of analysis and stuff on how I was running Grandion and different things, just how I was running Python.
And I think this is going to be a good lead-in to where we're going as well.
I got it to where I was using 120, 1.3 gigs, let's say, for TalkPython, training the courses specifically, which is, and people are like, oh, it's just a little courses thing.
totally small project.
But down
One of the
main reasons I did that as a way I want to kind of want to lead into like this where we're going is I said, well, the way gradient works is for each.
Either you can make multiprocesses that are single threaded or could do multiple threads and then it'll create a separate interpreter for each one.
I recently did a post over on my blog, personal blog, calling cutting Python web app memory by 31%.
And I did a ton of analysis and stuff on how I was running Grandion and different things, just how I was running Python.
And I think this is going to be a good lead-in to where we're going as well.
I got it to where I was using 120, 1.3 gigs, let's say, for TalkPython, training the courses specifically, which is, and people are like, oh, it's just a little courses thing.
totally small project.
But down
One of the
main reasons I did that as a way I want to kind of want to lead into like this where we're going is I said, well, the way gradient works is for each.
Either you can make multiprocesses that are single threaded or could do multiple threads and then it'll create a separate interpreter for each one.
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Python's Concurrency Revolution
Python's concurrency story is changing at last
He Rebuilt Async From Scratch
One realization pushed him to rebuild everything
The Deadlock You Can Create
Multithreading introduces one dangerous new deadlock pattern
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