On Thu, Sep 8, 2022, at 03:39, 腾刘 wrote: > Thanks so much! I will check these videos thoroughly. By the way, > another stupid question: does your reply means that my mail has been > accepted by the moderator and got permission into the mailing-list > (which means that everyone in the mailing-list will see this email) ?
That is correct. When in doubt, check the public archive: https://mail.python.org/archives/list/numpy-discussion@python.org/latest András > > > Andras Deak <deak.and...@gmail.com> 于2022年9月7日周三 21:09写道： >> On Wed, Sep 7, 2022, at 07:55, 腾刘 wrote: >> > Hello, everyone. I'm a newcomer here and looking forward to >> > contributing to Numpy core code in the future. >> > >> > However, there is an obstacle right ahead of me that I don't know how >> > to figure out the corresponding relationship between Numpy python code >> > and its C implementation code. In another word, I really want to know >> > which part of Numpy core C code implements this simple numpy array >> > addition: >> > >> >>>> a = np.array([1, 2, 3]) >> >>>> b = np.array([2, 3, 4]) >> >>>> c = a + b >> > >> > I have built Numpy from source in a virtual environment (via conda), >> > and I know the addition described above might be implemented in loop.c >> > or something like that from StackOverflow, but I want to find a general >> > approach to solve all these similar problems like: where are array >> > transpose implemented? where are array reshape implemented? etc. So I >> > am seeking some tools like GDB and track python step by step. I *can >> > *use gdb to track python, but I can't set breakpoint in Numpy because >> > Numpy's C code isn't part of Python interpreter. >> > >> > So all in all, my final question is that, how can I debug and track >> > Numpy's C code and see which part is executed? I believe there must be >> > a method because the real developers will certainly need to debug. >> >> Hi, >> >> As a first pointer, you might find one of the first videos on the NumPy >> youtube channel (from a NumPy Newcomers’ Hour panel discussion) useful, in >> case you haven't seen it yet: "Find your way in the NumPy codebase :: >> Melissa Mendonca, Sebastian Berg, Tyler Reddy, Matti Picus" >> https://www.youtube.com/watch?v=mTWpBf1zewc . Others in the channel might >> also be relevant. >> >> András >> >> >> >> > >> > Thanks in advance. And I'm quite new here, so I'm not sure whether I >> > should ask this kind of primitive and naive question here, since the >> > previous discussions seem to be advanced and I can't understand most of >> > them. >> > _______________________________________________ >> > NumPy-Discussion mailing list -- numpy-discussion@python.org >> > To unsubscribe send an email to numpy-discussion-le...@python.org >> > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ >> > Member address: deak.and...@gmail.com >> _______________________________________________ >> NumPy-Discussion mailing list -- numpy-discussion@python.org >> To unsubscribe send an email to numpy-discussion-le...@python.org >> https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ >> Member address: 27rabbi...@gmail.com > _______________________________________________ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: deak.and...@gmail.com _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
