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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
- What difference between pickle and _pickle in python 3?
The pickle module already imports _pickle if available It is the C-optimized version of the pickle module, and is used transparently From the pickle py source code: # Use the faster _pickle if possible try: from _pickle import * except ImportError: Pickler, Unpickler = _Pickler, _Unpickler and from the pickle module documentation: The pickle module has an transparent optimizer (_pickle
- pickle - Error Pickling in Python: io. UnsupportedOperation: read . . .
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: io UnsupportedOperation: read which traces back to favorite_color = pickle load(f_myfile)
- 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
- python - Pickle vs cPickle (?) in python3 - Stack Overflow
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?
- 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
- Pickle - Load variable if exists or create and save it
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? try this: import io, pickle; pickle load(io BytesIO(b"\x00")) and play with the binary):
- Python pickle protocol choice? - Stack Overflow
Use the latest protocol that supports the lowest Python version you want to support reading the data Newer protocol versions support new language features and include optimisations From the pickle module data format documentation: Protocol version 0 is the original “human-readable” protocol and is backwards compatible with earlier versions of Python Protocol version 1 is an old binary
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