As noted above, NumPy arrays behave a lot like other Python objects, for the sake of convenience. For instance, they can be indexed like lists; arr[0] accesses the first element of a NumPy array.

NumPy arrays require far less storage area than other Python lists, and they are faster and more convenient to use, making it a great option to increase the performance of Machine Learning models ...

Python is powerful, versatile ... Dask’s own versions of NumPy arrays, lists, or Pandas DataFrames. Swap in the Dask versions of those constructions for their defaults, and Dask will ...