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.

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Np save | How To Save Numpy Array In .npy and .csv File
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