From this point, you can safely assume that what's pickled with pickle.dumps() in Python 2 can be converted back to the real object in Python 3 with pickle.loads(), and vise versa. However, note that ...

Many machine learning (ML) models are Python pickle files under the hood, and it makes sense. The use of pickling conserves memory, enables start-and-stop model training, and makes trained models ...