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cantankerous_cashew@lemmy.world to Python@programming.dev · 2 years ago

If PEP 703 is accepted, Meta can commit three engineer-years to no-GIL CPython

discuss.python.org

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If PEP 703 is accepted, Meta can commit three engineer-years to no-GIL CPython

discuss.python.org

cantankerous_cashew@lemmy.world to Python@programming.dev · 2 years ago
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A fast, free threading Python
discuss.python.org
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We’ve had a chance to discuss this internally with the right people. Our team believes in the value that nogil will provide, and we are committed to working collaboratively to improve Python for everyone. If PEP 703 is accepted, Meta can commit to support in the form of three engineer-years (from engineers experienced working in CPython internals) between the acceptance of PEP 703 and the end of 2025, to collaborate with the core dev team on landing the PEP 703 implementation smoothly in CPyth...
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  • csm10495@sh.itjust.works
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    2 years ago

    Hey a positive thing about Meta. Cool.

    Nogil has great potential to make Python closer to first class for parallel processing. Having man power gives the SC more reason to push forward.

    • tempest@lemmy.ca
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      2 years ago

      Meta the company and its profitability goals suck. However in pursuit of those goals I find their OSS contributions and project management to be pretty good.

    • Gamma@programming.dev
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      2 years ago

      Their work on Btrfs is also much appreciated.

  • qwop@programming.dev
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    2 years ago

    And whether PEP 703 is accepted will probably depend quite a lot on the result of this poll: https://discuss.python.org/t/poll-feedback-to-the-sc-on-making-cpython-free-threaded-and-pep-703/28540

  • RandomBit@lemmy.sdf.org
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    2 years ago

    For those wondering what PEP 703 is:

    CPython’s global interpreter lock (“GIL”) prevents multiple threads from executing Python code at the same time. The GIL is an obstacle to using multi-core CPUs from Python efficiently. This PEP proposes adding a build configuration (–disable-gil) to CPython to let it run Python code without the global interpreter lock and with the necessary changes needed to make the interpreter thread-safe.

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