TLDR: There has been some discussion regarding moving busday and related functions to numpy--financial. The sentiment for this has generally been positive, this thread is to assess the amount of work required to move these functions. Dear NumPy Maintainers, There has been some discussion about moving np.busday* to numpy-financial first on GitHub [1] and more recently on Slack. The sentiment has largely been positive, however one concern is that the amount of work required is not justified as few people currently use these functions and the move could be messy. I have recently been contributing to NumPy and am currently the sole maintainer of numpy-financial, so it feels like I am the right person to do this. In my opinion, these functions conceptually fit the scope of numpy-financial. However, I have some hesitations about this work. Namely, I am struggling to estimate the scope of this work and I have only some experience with C, and the NumPy C API. I am having trouble estimating the amount of work this would require, but suspect that it will not be easy. The functions use some of the internal C-API (I think, how do I find out the differences between the internal/external API?) and depends on `np.datetime`. Further, the busday* functions are implemented in C. I only have some experience with C and the C aspects of NumPy—I am happy to learn, but this seems like a pretty steep learning curve. Finally, numpy-financial is currently a pure Python module and does not build C, again I will either need help with this or to learn how to do this. To finish, I have a few questions / requests for advice: * Is this change supported by the NumPy community? * Does anyone have advice on how to estimate the amount of work required? * If I start working on this, would anyone be willing to help me learn the C components? Kind regards Kai Striega (@Kai-Striega) [1]_ https://github.com/numpy/numpy/pull/23229#issuecomment-1467084886