PyPy and the future of the Python ecosystem
Python has a great versatile ecosystem but the competition is getting better, this talk is about how Python can keep up with these new languages and where PyPy fits into this. Recently we’ve seen the rise of new technologies like Go, Node.js and Julia, those have the ability to build an ecosystem on a clean slate and thus be better than Python in some aspects. What would it take to be as good as t
The GIL is dead: PyPy-STM
Take a big, non-multithreaded program, and run in on multiple cores! PyPy, the Python implementation written in Python, experimentally supports Software Transactional Memory (STM). It runs without the Global Interpreter Lock (GIL). The strength of STM is not only to remove the GIL, but to also enable a novel use of multithreading, inheritently safe, and more useful in the general case than other a
Python and PyPy performance (not) for dummies
In this talk we would like to have a short introduction on how Python programs are compiled and executed, with a special attention towards just in time compilation done by PyPy. PyPy is the most advanced Python interpreter around and while it should generally just speed up your programs there is a wide range of performance that you can get out of PyPy, ranging from slightly faster than CPython to
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Antonio Cuni - Python and PyPy performance (not) for dummies
Armin Rigo - The GIL is dead: PyPy-STM
