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	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#225 Can subinterpreters free us from Python's GIL?
	Category:		Technology
	Duration:		01:10:38
	Publish Date:		2019-08-12 03:00:00
	Description:		Have you heard that Python is not good for writing concurrent asynchronous code? This is generally a misconception. But there is one class of parallel computing that Python is not good at: CPU bound work running the Python layer. What's the main problem? It's Python's GIL or Global Interpreter Lock of course. Yet, the fix for this restriction may have been hiding inside CPython since version 1.5: subinterpreters. Join me to talk about PEP 554 with core developer Eric Snow. Links from the show Eric on Twitter: @ericsnowcrntly Eric's "Multi-core Python" project: github.com/ericsnowcurrently/multi-core-python Blog post (2016): ericsnowcurrently.blogspot.com Dave Beazley's talk on concurrency (performance): dabeaz.com PEP 554 ("Multiple Interpreters in the Stdlib"): python.org CSP: wikipedia.org Original notes for PEP 554: docs.google.com CAPI: python.org Python benchmarks: github.com Slides from Language Summit 2018: docs.google.com Slides from Language Summit 2019: docs.google.com Talk at PyCon US 2019, "to GIL or not to GIL: the Future of Multi-Core (C)Python" Video: youtube.com Slides: docs.google.com Sponsors Ting TopTal Talk Python Training
	Total Play:		0