2021年1月16日 · The cPickle module helps us by implementing an algorithm for turning an arbitrary Python object into a series of Bytes. The Pickle module also carries a similar type of program.

The cPickle module supports serialization and de-serialization of Python objects, providing an interface and functionality nearly identical to the pickle module.

1 天前 · Source code: Lib/pickle.py The pickle module implements binary protocols for serializing and de-serializing a Python object structure. “Pickling” is the process whereby a Python object hierarchy is...

2022年5月10日 · 运行报错，缺失cPickle包，一般这种情况，直接 pip 安装即可，但是这次有点特殊，我用的py3.8环境 import cPickle 是py2.x环境导入包的命令，在py3.x环境中不能直接导入，应该采取如下形式导入 import _pickle as cPickle，改成这种导入形式之后便可成功运行

2023年1月9日 · cPickle was a Python library that provided a faster implementation of the pickle library, which is used for serializing and de-serializing Python objects. cPickle has been deprecated in favor of the pickle library, which is now implemented in C and offers similar performance benefits.

2020年9月23日 · 本文介绍了在Python3中由于不再支持cPickle模块而导致的兼容性问题，并提供了解决方案，即将cPickle替换为pickle。

The cPickle module provides a similar interface and identical functionality as the pickle module, but can be up to 1000 times faster since it is implemented in C.

2020年7月11日 · The cPickle module implements the same algorithm, in C instead of Python. It is many times faster than the Python implementation, but does not allow the user to subclass from Pickle. If subclassing is not important for your use, you probably want to use cPickle.

本文介绍了cPickle模块的使用方法，包括安装cPickle模块、导入cPickle模块和使用cPickle模块来序列化和反序列化Python对象。 我们还说明了在Python 3.x中应使用pickle模块而不是cPickle模块。

Both Pickle and cPickle allow us to serialize Python objects into a byte stream and deserialize them back into objects. The main difference between Pickle and cPickle lies in their implementation.