How can I efficiently split a list of audio data into equal chunks?

The reason your deletion is slow is that removing items from the front means all remaining elements in the list need to shift left, which is pretty inefficient. If you're creating a new list, you might not need to delete at all.

Switch to using a NumPy array! You can slice it using NumPy's slice notation, which creates views of the original array instead of copies. There's also `numpy.split`, which can help you divide your array into equal chunks easily.

The 'del' method isn’t really fast when it's used to remove items from the front of the list. In fact, that's one of the slowest operations because everything shifts down after removing an element. Instead of deleting elements, consider using the `itertools` library, which has a `batched` function. It allows you to iterate over your list in chunks without slicing it. You could also just loop over the list directly without needing to create a new one if that's possible for your use case.

Thanks for the help everyone! I managed to figure out a solution. Since I wanted equal chunks but didn't know the size of the array beforehand, I calculated the remainder of `len(array) % len(chunk)` first. Then, I removed that many elements from the end of the list and then used `np.array_split` to create equal chunks.