Getting familiarized with the codebase & auditing

[kushaangupta]

https://github.com/ryanharvey1/neuro_py/blob/ef151b6bfdf6e703eabae1ee545053ffc6c2e3b5/neuro_py/behavior/utils.py#L5C5-L6C44

These might be unnecessary, if we omit second arg then function behaves similarly

[kushaangupta]

neuro_py/neuro_py/behavior/utils.py

Line 7 in ef151b6

return np.gradient(position, time, axis=0)

I don't understand np.gradient use properly, but it seems to compute the difference between next and previous elements and divide it by twice the interval.
https://numpy.org/doc/stable/reference/generated/numpy.gradient.html#numpy-gradient

If we're computing the instantaneous velocity don't we need to instead compute the difference between current & previous time bins and divide by time between them?