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Pickling (and unpickling) is alternatively known as serialization. If yes, what is the purpose of pickle file? Foo returns 3 foo = read_or_new_pickle(path=var.pickle, default=4) and foo still returns 3

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Admittedly, the following is rather short and elegant, but too many things could go wrong, and you'd have to catch everything (don't believe me After i train the model, i want to save all to use them without retraining the model Pickle.load(io.bytesio(b\x00)) and play with the binary)

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Pickle is unsafe because it constructs arbitrary python objects by invoking arbitrary functions

The pickle / cpickle pair received this treatment The profile module is on the list for 3.1 The stringio module has been turned into a class in the io module Since it is a python convention that implementation details are prepended with an underscore, cpickle became _pickle.

There used to be cpickle in python2.7 However, i don't see it anymore in python3 pickle What ever happened to that module, did it get merged into the regular pickle module? Np.save/load is the usual pair for writing numpy arrays

Resulting file sizes are similar

Curiously in timings the pickle version is faster. I am trying to learn how to pickle and save an object in python However, when i use the sample code below i get the following error Read which traces back to favorite_col.

The following is an example of how you might write and read a pickle file Note that if you keep appending pickle data to the file, you will need to continue reading from the file until you find what you want or an exception is generated by reaching the end of the file That is what the last function does. Pickle.dump(d, pfile, protocol=pickle.highest_protocol) pickle.highest_protocol will always be the right version for the current python version

Because this is a binary format, make sure to use 'wb' as the file mode

Python 3 no longer distinguishes between cpickle and pickle, always use pickle when using python 3. 5 i want to get a clear image of model saving