Pickle in python is useful for saving and loading data as a python list but is a little slow for some uses. Knowing the data type, such as a list of integers, alternative file writing methods ... find ...

Python is convenient and flexible ... Here’s an example: x1 = np.array( [np.arange(0, 10), np.arange(10,20)] ) This creates a two-dimensional NumPy array, each dimension of which consists ...

For regular Python lists, this is a real pain. For 2D numpy arrays, however, it's pretty intuitive! The indexes before the comma refer to the rows, while those after the comma refer to the columns.

Two examples are using air measurements over a geographical grid to estimate the weather or making medical imaging predictions using multi-channel image intensity values from a 2D or 3D scan ... API ...