Python has a module for saving Python data called pickle. You can use that. From the docs:
The pickle module implements a fundamental, but powerful algorithm for
serializing and de-serializing a Python object structure. “Pickling”
is the process whereby a Python object hierarchy is converted into a
byte stream, and “unpickling” is the inverse operation, whereby a byte
stream is converted back into an object hierarchy. Pickling (and
unpickling) is alternatively known as “serialization”, “marshalling,”
or “flattening”, however, to avoid confusion, the terms used here
are “pickling” and “unpickling”.
Demo:
>>> import pickle
>>> data = [[0, 0, 0, 0, 0], [0, 1, 1, 1, 0], [0, 0, 0, 0, 0]]
>>> with open('C:/temp/pickle_test.data', 'wb') as f:
pickle.dump(data, f)
>>> with open('C:/temp/pickle_test.data', 'rb') as f:
new_data = pickle.load(f)
>>> new_data
[[0, 0, 0, 0, 0], [0, 1, 1, 1, 0], [0, 0, 0, 0, 0]]