programming

The differences between the APIs of numpy, cupy and torch are so fascinating....

```
>>> import torch as np
>>> np.arange(10)
tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> a = np.zeros(20)
>>> a[19:-1:-2] = np.arange(10)
```

Torch doesn't let you have ranges that go backwards 🤣 

Would love more consistency

Highly recommend trying Polars (https://docs.pola.rs) if you haven't. The APIs are very thoughtfully designed. May not be suitable for your use case if you need GPU acceleration though (https://pola.rs/posts/polars-on-gpu).