NumPy provides methods for efficiently loading and saving data in various file formats. Here’s an example of loading and saving data using NumPy:

Loading Data:

Suppose you have a text file named data.txt with numerical data in a tabular format:

1 2 3 4 5 6 7 8 9

Loading Data into NumPy Array:

Saving Data:

Suppose you have a NumPy array that you want to save to a text file:Loading Data into NumPy Array:

Additional Parameters:

You can customize the delimiter, header, and footer while saving data. For instance:

Binary File Loading and Saving:

For binary files, you can use numpy.save() and numpy.load():