Hello,

I have a couple of questions:
1. What is equivalent of np.byte_bounds? I have recently started using this.
2. Why are you removing business day functionality? Are there faster methods in 
python space for it? As far as I remember, for performance critical 
applications I have always resorted to numpy, including its business day 
functionality.

Regards,
DG

> On 15 Sep 2023, at 21:12, Ralf Gommers <ralf.gomm...@gmail.com> wrote:
> 
> Hi all,
> 
> A lot of work has been happening to implement NEP 52 
> (https://numpy.org/neps/nep-0052-python-api-cleanup.html 
> <https://numpy.org/neps/nep-0052-python-api-cleanup.html>) over the past 1.5 
> months - mostly work by Mateusz Sokol, and review effort of Sebastian, Nathan 
> and myself. The majority of API changes have been made. There's more to do of 
> course and there are pending PRs for a good fraction of that. These two 
> tracking issues cover a lot of ground and discussion around decision on 
> individual APIs:
> 
> - main namespace: https://github.com/numpy/numpy/issues/24306 
> <https://github.com/numpy/numpy/issues/24306>
> - numpy.lib namespace: https://github.com/numpy/numpy/issues/24507 
> <https://github.com/numpy/numpy/issues/24507>
> 
> This PR with a migration guide will give a good sense of what has been 
> removed or changed so far: https://github.com/numpy/numpy/pull/24693 
> <https://github.com/numpy/numpy/pull/24693>.
> 
> In https://github.com/numpy/numpy/pull/24620 
> <https://github.com/numpy/numpy/pull/24620> the NEP itself is being updated 
> for changes that have been made. And it will mark the NEP as Accepted, which 
> seems about time given that a lot of the work has already been merged. 
> 
> If there are no substantive objections within 7 days from this email, then 
> the NEP will be accepted; see NEP 0 for more details.
> 
> Cheers,
> Ralf
> 
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