Welcome Kumar Aditya as a new maintainer
Nathan via NumPy-Discussion <[email protected]> Fri, 26 Jun 2026 12:14:28 -0600
| Newsgroups | gmane.comp.python.numeric.general |
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--===============3975224414868611669== Content-Type: multipart/alternative; boundary="00000000000031564406552c1598" --00000000000031564406552c1598 Content-Type: text/plain; charset="UTF-8" Hi all, Please join me in welcoming Kumar (https://github.com/kumaraditya303) to the NumPy maintainers team. Kumar is a CPython core developer where he helps maintain asyncio and has been actively working on areas across the interpreter, including the JIT and issues on the free-threaded build. Over the past six months he has been contributing to NumPy to improve performance on the free-threaded build and enable downstream projects to use Python 3.15's new free-threaded stable ABI. I hope that Kumar's deep expertise in CPython internals and the C API can help us improve the codebase. Among other things, he's currently thinking about a view-tracking system for NumPy, to enable truly safe concurrent sharing of ndarrays and buffer protocol buffers. Thank you for your continued contributions Kumar! -Nathan --00000000000031564406552c1598 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Hi all,<div><br></div><div>Please join me in welcoming Kum= ar (<a href=3D"https://github.com/kumaraditya303">https://github.com/kumara= ditya303</a>) to the NumPy maintainers team.</div><div><br></div><div>Kumar= is a CPython core developer where he helps maintain asyncio and has been a= ctively working on areas across the interpreter, including the JIT and issu= es on the free-threaded build. Over the past six months he has been contrib= uting to NumPy to improve performance on the free-threaded build and enable= downstream projects to use Python 3.15's new free-threaded stable ABI.= </div><div><br></div><div>I hope that Kumar's deep expertise in CPython= internals and the C API can help us improve the codebase. Among other thin= gs, he's currently thinking about a view-tracking system for NumPy, to = enable truly safe concurrent sharing of ndarrays and buffer protocol buffer= s.</div><div><br></div><div>Thank you for your continued contributions Kuma= r!</div><div><br></div><div>-Nathan</div></div> --00000000000031564406552c1598-- --===============3975224414868611669== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ NumPy-Discussion mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3//lists/numpy-discussion.python.org Member address: [email protected] --===============3975224414868611669==--