pickle — Python object serialization — Python 3.13.0 documentation

Source code: Lib/pickle.py The pickle module implements binary protocols for serializing and de-serializing a Python object structure.

7. Input and Output — Python 3.13.0 documentation

So far we've encountered two ways of writing values: expression statements and the print() function. (A third way is using the write() method of file objects; ...

How to Pickle and Unpickle Objects in Python: A Complete Guide

If you're not familiar with pickling and unpickling, they are the terms used to describe the process of converting a Python object into a byte ...

marshal — Internal Python object serialization — Python 3.13.0 ...

De-serializing a code object in the incorrect Python version has undefined behavior. If you're serializing and de-serializing Python objects, use the pickle ...

What's New In Python 3.13 — Python 3.13.0 documentation

Passing allow_code=False prevents serialization and de-serialization of code objects which are incompatible between Python versions. ... pickle operations.

json — JSON encoder and decoder — Python 3.13.0 documentation

Source code: Lib/json/__init__.py JSON (JavaScript Object Notation), specified by RFC 7159(which obsoletes RFC 4627) and by ECMA-404, is a lightweight data ...

Python Pickle Tutorial: Object Serialization - DataCamp

Advantages of using Pickle to serialize objects · Unlike serialization formats like JSON, which cannot handle tuples and datetime objects, Pickle ...

What is a typical use for pickling? : r/Python - Reddit

In theory, it serializes only data, but since you can also pickle methods and functions (which is necessary to allow for truly arbitrary objects ...

dill - PyPI

dill extends Python's pickle module for serializing and de-serializing Python objects to the majority of the built-in Python types.

Changelog — Python 3.13.0 documentation

... serializing parent objects by value in pickle protocols < 4. gh-113785: csv now correctly parses numeric fields (when used with csv.QUOTE_NONNUMERIC or csv ...

12.1. pickle — Python object serialization

The pickle module implements binary protocols for serializing and de-serializing a Python object structure. “Pickling” is the process whereby a Python object ...

Data Persistence — Python 3.13.0 documentation

The modules described in this chapter support storing Python data in a persistent form on disk. The pickle and marshal modules can turn many Python data types ...

cloudpipe/cloudpickle: Extended pickling support for Python objects

cloudpickle makes it possible to serialize Python constructs not supported by the default pickle module from the Python standard library.

History - jsonpickle documentation

Breaking Change: Python 3.7 is no longer supported. Breaking Change: Support for pre-0.7.0 repr -serialized objects is no longer enabled by default. The ...

copyreg — Register pickle support functions — Python 3.13.0 ...

The copyreg module offers a way to define functions used while pickling specific objects. The pickle and copy modules use those functions when pickling/copying ...

pickletools — Tools for pickle developers — Python 3.13.0 ...

Note that if you want to see the Python object stored in the pickle rather than the details of pickle format, you may want to use -m pickle instead. However, ...

11.1. pickle — Python object serialization — Editorial Documentation

The pickle module implements a fundamental, but powerful algorithm for serializing and de-serializing a Python object structure.

The Python Standard Library — Python 3.13.0 documentation

The Python Standard Library¶ · pickle — Python object serialization · copyreg — Register pickle support functions · shelve — Python object persistence · marshal — ...

pickle — Python object serialization — Python 3.13.0 documentation

If a TextReader instance is pickled, all attributes except the file object member are saved. When the instance is unpickled, the file is reopened, and reading ...

pickle — Object Serialization - PyMOTW 3

The pickle module implements an algorithm for turning an arbitrary Python object into a series of bytes. This process is also called serializing the object.