The code can persist cache to disk, but this modified version will work in notebook as well. http://tohyongcheng.github.io/python/2016/06/07/persisting-a-cache-in-python-to-disk.html

persist_cache_to_disk_notebook.py

import atexit
import pickle
# or import cPickle as pickle

def persist_cache_to_disk(filename):
    def decorator(original_func):
        try:
            cache = pickle.load(open(filename, 'r'))
        except (IOError, ValueError):
            cache = {}

        # Your pythin script has to exit in order to run this!
        # atexit.register(lambda: pickle.dump(cache, open(filename, "w")))
        # Let's make a function:
        def save_data():                                                        
            pickle.dump(cache, open(filename, "w"))  

        def new_func(*args):
            if tuple(args) not in cache:
                cache[tuple(args)] = original_func(*args)
                # Instead, dump your pickled data after
                # every call where the cache is changed.
                # This can be expensive!
                save_data()
            return cache[args]

        return new_func

    return decorator


@persist_cache_to_disk('users.p')
def get_all_users():
    x = 'some user'
    return x

get_all_users()

Thanks for stack overflow http://stackoverflow.com/questions/37883015/using-decorators-to-persist-python-objects