Thanks for the context. In case it wasn't clear, I wasn't disparaging numpy
for not having a "good first issue" tag. I only mentioned it to encourage
the OP to look for it in other, more accessible projects.
-Paul

On Tue, Jan 20, 2026 at 6:14 PM Robert Kern via NumPy-Discussion <
[email protected]> wrote:

> On Tue, Jan 20, 2026 at 11:53 AM Paul Hobson via NumPy-Discussion <
> [email protected]> wrote:
>
>> A lot of projects will have issues tagged as something like "Good first
>> issue". Numpy doesn't do that, but they do tag their documentation issues
>> as such:
>>
>> https://github.com/numpy/numpy/issues?q=is%3Aissue%20state%3Aopen%20label%3A%2204%20-%20Documentation%22
>>
>
> We have "sprintable" issues, instead, which occupies a distinct but
> similar niche; small, well-specified fixes that could be made with a short
> effort, but probably with some guidance. However, we chose that over "good
> first issue" deliberately because they are usually not any more
> "beginner-friendly" than other issues. NumPy is a mature project sitting at
> the bottom dependency of a lot of tech stacks. The kinds of work that needs
> to be done on it frequently involve judgement calls, rather than coding
> skills, that need to be made with experience at least using numpy and its
> ecosystem for a good while. We're not the best project for those who are
> new to open source (this is a statement about us, not a value judgement on
> those new contributors).
>
> That said, you can take a look at the set of sprintable issues, and if one
> of them leaps out at you as something you specifically know about and care
> about, that you have run into yourself, you may well be the person in the
> best position to address it.
>
>
> https://github.com/numpy/numpy/issues?q=is%3Aissue%20state%3Aopen%20(label%3Asprintable%20OR%20label%3A%22sprintable%20-%20C%22)
>
> --
> Robert Kern
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