python的几种序列化方式

本文主要是介绍python的几种序列化方式，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

结论: performance: marshal > cPickle > json > pickle   >>> timeit.timeit("pickle.dumps([1,2,3])","import pickle",number=10000) 0.2939901351928711 >>> timeit.timeit("json.dumps([1,2,3])","import json",number=10000) 0.09756112098693848 >>> timeit.timeit("pickle.dumps([1,2,3])","import cPickle as pickle",number=10000) 0.031056880950927734 >>> timeit.timeit("marshal.dumps([1,2,3])","import marshal", number=10000) 0.00703883171081543   引自：https://stackoverflow.com/questions/9662757/python-performance-comparison-of-using-pickle-or-marshal-and-using-re

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