Sep 21, 2011 · 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 …

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...

Aug 9, 2010 · I've looked at the pickle documentation, but I don't understand where pickle is useful. What are some common use-cases for pickle?

I need to append to a pickle file (as I don't have the entire dictionary with me at one go). So for doing the same I have written the following code: import pickle p = {} p[1] = 2 q = {} q['a...

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 …

@Mike Williamson, in my test, pickle was 5x faster to load than HDF and also took 1/11 the disk space (ie hdf was 11x larger on disk and took 5x As much time to load from disk as pickle did). this was all …

Aug 30, 2010 · This is done to store the python objects and is also called as . You can infer from this what de-serialization or unpickling means. So when we say an object is picklable it means that the …

Aug 10, 2009 · I'm trying to transfer a function across a network connection (using asyncore). Is there an easy way to serialize a python function (one that, in this case at least, will have no side effects) for

Pickle is unsafe because it constructs arbitrary Python objects by invoking arbitrary functions. However, this is also gives it the power to serialize almost any Python object, without any boilerplate or even …

Dec 25, 2010 · 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 …