[Numpy-discussion] Re: How do I use the numpy on spyder?

Nowadays, free AIs are good for such questions: https://www.youtube.com/watch?v=bA-tbHwvA6A hth On Thu, Oct 31, 2024 at 9:31 AM Joao Pereira via NumPy-Discussion < numpy-discussion@python.org> wrote: > I don´t know how to use the numpy on spyder. I have tried to use this > line: "import numpy as

[Numpy-discussion] Re: C API could be more consistent with returning NPY_SUCCEED/NPY_FAIL

The Python C-API almost exclusively uses `-1` for errors and I consider it a wart that some NumPy API uses `NPY_FAIL`/`NPY_SUCCEED`, i would not do this for new API. The one exception are all "argument parsing functions". For those Python again dictates the use of 0 (NPY_FAIL) and 1 (NPY_SUCCEED)

[Numpy-discussion] How do I use the numpy on spyder?

I don´t know how to use the numpy on spyder. I have tried to use this line: "import numpy as np" but i dont know if it's the only necessary thing to do. If you could explain it to me I'll appreciate it. ___ NumPy-Discussion mailing list -- numpy-discussi

[Numpy-discussion] C API could be more consistent with returning NPY_SUCCEED/NPY_FAIL

While using the C API to work with Numpy arrays, I came across some inconsistencies regarding the return of a success state from various Numpy functions. For example, the array iterator functions return either NPY_SUCCEED (defined as 1) or NPY_FAIL (defined as 0) to indicate whether the function