How to Prioritize Standard Library Modules Over Local Modules in Python?

Controlling Python's Module Import Strategy

When encountering modules with identical names in your project folder and the standard library, Python's default behavior is to prioritize the local module. This can lead to conflicts, especially when attempting to import specific classes from the standard library that share names with your project's modules.

To resolve this issue, consider using absolute_import in Python 2.5 and above. This setting modifies Python's import behavior, allowing you to explicitly control the search paths for modules.

For instance, to import the standard library's socket module, while having a socket.py file in your project, employ the following code:

from __future__ import absolute_import
import socket

Alternatively, if you're working in Python 3.x, absolute_import is enabled by default. Although PyLint may flag this code, it remains syntactically correct.

By leveraging absolute_import, you instruct Python to prioritize the standard library when searching for modules, ensuring that your imports reference the correct classes and functions.

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