If arrays are standardized, we may even see a future where they end up being in the stdlib, while libs like numpy, dask, etc. will mostly provide tooling to wor

If arrays are standardized, we may even see a future where they end up being in the stdlib, while libs like numpy, dask, etc. will mostly provide tooling to work with them. This would be a huge deal, allowing pure Python libs to suddenly exist for a whole lot of things like image/video manipulation, advanced stats, and so on, without requiring compiled extensions. I love numpy, but having to install the 100Mo beast is overkill for a lot of use cases. Not to mention restricted environments where you can't. Well, one can dream, no? Imagine having a numpy-like array as a primitive. Suddenly you can make the case for a K/J-like DSL embedded in it like regexes are for text. Suddenly Python-fast enough perfs are getting an order of magnitude higher. Suddenly you get a powerful shared buffer for multiprocessing.