Can You Monkey Patch Core Types in Python?

Can You Modify Core Types in Python?

Python enthusiasts may be familiar with the intriguing capability of Ruby to extend the Number class and other fundamental types. This functionality allows for versatile method additions, opening up captivating possibilities. However, a burning question arises: can Python replicate this behavior?

An Immutable Foundation

To the dismay of Python enthusiasts, monkey patching core types remains an unfulfilled dream. Unlike Ruby, Python's fundamental data structures, residing in C extension modules, possess an unyielding immutability. This invincibility stems from the fact that these C modules play a vital role in supporting multiple interpreters within a single process. Allowing for alterations would wreak havoc, potentially compromising the integrity of unrelated interpreters sharing the same module.

Localized Monkey Patching

While core types remain untouchable, Python offers a glimmer of hope for classes defined within the Python codebase. Unlike their immutable counterparts, these local classes can dance to the tune of monkey patching. This distinction stems from their confinement to the local interpreter, ensuring that their modifications remain isolated.

Reasons for the Divide

This disparity between core types and Python-defined classes stems from their divergent natures. Core types, enshrined in C modules, are shared by multiple interpreters. Unrestrained monkey patching has the potential to unleash chaos upon this shared realm. Python-defined classes, on the other hand, live in relative isolation within their respective interpreters, allowing for mischievous alterations without disrupting the collective.

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