Oh man, the python response of array can be a real headache sometimes!
I usually start by checking the shape and dtype if it's a numpy array. A quick `print(arr.shape)` or `print(type(arr))` saves me so much time.
For weird formatting, I swear by `json.dumps()` to pretty-print nested lists. And if things get messy, pandas’ `DataFrame` is my go-to for cleaning it up.
Ever tried `np.savetxt()` for quick debugging? Lifesaver!
I usually start by checking the shape and dtype if it's a numpy array. A quick `print(arr.shape)` or `print(type(arr))` saves me so much time.
For weird formatting, I swear by `json.dumps()` to pretty-print nested lists. And if things get messy, pandas’ `DataFrame` is my go-to for cleaning it up.
Ever tried `np.savetxt()` for quick debugging? Lifesaver!
