to CSV or to Pickle

import os
import csv
import pickle

data = [chr(i) for i in range(65, 65+26)]
pickled_data = pickle.dumps(data)
csv_data = ','.join(data)

def test_pickle():

    with open('sample_data.pkl', 'w') as f:
        f.write(pickled_data)

    loaded_data = []
    with open('sample_data.pkl', 'r') as f:
        loaded_data.extend(pickle.loads(f.read()))

def test_csv():

    with open('sample_data.csv', 'w') as f:
        csv_writer = csv.writer(f, quoting=csv.QUOTE_NONNUMERIC)
        csv_writer.writerow(data)

    loaded_data = []
    with open('sample_data.csv', 'r') as f:
        csv_reader = csv.reader(f)
        loaded_data.extend( [row for row in csv_reader] )

if __name__ == '__main__':
    import timeit
    print("Pickling Time: %s" % timeit.timeit("test_pickle()", setup="from __main__ import test_pickle", number=10000))
    print("CSV Timei: %s" % timeit.timeit("test_csv()", setup="from __main__ import test_csv", number=10000))