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pickle - Understanding Pickling in Python - Stack Overflow The pickle module implements a fundamental, but powerful algorithm for serializing and de-serializing a Python object structure Pickling - is the process whereby a Python object hierarchy is converted into a byte stream, and Unpickling - is the inverse operation, whereby a byte stream is converted back into an object hierarchy Pickling (and unpickling) is alternatively known as serialization
Using pickle. dump - TypeError: must be str, not bytes 0 pickle uses a binary protocol, hence only accepts binary files As the document said in the first sentence, "The pickle module implements binary protocols for serializing and de-serializing"
Saving and loading objects and using pickle - Stack Overflow It seems you want to save your class instances across sessions, and using pickle is a decent way to do this However, there's a package called klepto that abstracts the saving of objects to a dictionary interface, so you can choose to pickle objects and save them to a file (as shown below), or pickle the objects and save them to a database, or
What difference between pickle and _pickle in python 3? 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
python - Saving an Object (Data persistence) - Stack Overflow pickle can read and write files in several different, Python-specific, formats, called protocols as described in the documentation, "Protocol version 0" is ASCII and therefore "human-readable"
How can I use pickle to save a dict (or any other Python object)? I have looked through the information that the Python documentation for pickle gives, but I'm still a little confused What would be some sample code that would write a new file and then use pickle
python - Save Numpy Array using Pickle - Stack Overflow But that shouldn't be surprising - you can't read a freshly opened write file It will be empty np save load is the usual pair for writing numpy arrays But pickle uses save to serialize arrays, and save uses pickle to serialize non-array objects (in the array) Resulting file sizes are similar Curiously in timings the pickle version is faster