TL;DR: NumPy scalars representation is e.g. `34.3` instead of `float32(34.3)`. So the representation is missing the type information. What are your thoughts on changing that? Hi all, I am thinking about the next steps for NEP 50 (The NEP wants to fix the NumPy promotion rules, especially with respect to scalars): https://numpy.org/neps/nep-0050-scalar-promotion.html In relation to that, there was one point that Stéfan brought up previously. The NumPy scalars (representation) currently print as numbers: >>> np.float32(34.3) 34.3 >>> np.uint8(5) 5 That can already be confusing now. However, it gets more problematic if NEP 50 is introduced since the behavior between a Python `34.3` and `np.float32(34.3)` would differ more than it does now (please refer to the NEP). The change would be that we should print as: float64(34.3) (or similar?) This Email is mainly to ask for any feedback or concern on such a change. I suspect we may have to write a very brief NEP about it. If there is little concern, maybe we could move forward such a change promptly. Otherwise it could be moved forward together with NEP 50 and take effect in a "major" release [1]. Cheers, Sebastian [1] Note that for me, even a major release would hopefully not affect the majority of users or be very disruptive.