Numpy save() is an inbuilt function that is used to store the input array in a disk file with npy extension(.npy). NumPy arrays are one of the most efficient data structures for prepare data in Python, and machine learning models like those in the scikit-learn library, and deep learning models like those in the Tensorflow and Keras library, expect input data in the form of NumPy arrays and make predictions in the format of Numpy arrays.

Np save
The np save function saves an array to a binary file in NumPy .npy format. Sometimes we have a lot of data in the NumPy arrays that we need to save efficiently, but which we only need to use in another Python program.

Therefore, we save the NumPy arrays into the native binary format that is efficient to both save and load.

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