Optimizing Python Import Order for Better Readability and Performance
This article explains how to improve Python code readability and performance by organizing import statements—prioritizing standard library, then third‑party packages, and finally local modules, optionally sorting each group alphabetically, and introduces the isort tool for automatic import ordering.
In Python, the order of importing packages affects code readability and performance. A good import order can improve readability and help reduce conflicts and import errors. Below are some quick suggestions for optimizing Python import order:
Standard library imports first: First import Python's standard library modules, such as os and sys .
Third‑party libraries next: Then import third‑party libraries, such as requests and numpy .
Local libraries last: Finally import locally defined modules and packages.
Additionally, within each section you can sort the import statements alphabetically to further improve readability.
# Import standard library
import os
import sys
# Import third‑party libraries
import requests
import numpy as np
# Import local libraries
from mypackage import module1, module2Additionally, if your project uses many third‑party libraries, you might consider a tool to automatically manage import order. For example, the isort library can automatically sort and group import statements, improving readability and consistency.
You can install the isort library with the following command:
pip install isortAn example command to use isort for automatic import ordering is:
isort your_script.pyThe above command will automatically sort and group the import statements in your_script.py .
By following the suggested import order and using tools for automatic sorting, you can quickly optimize Python import ordering, enhancing code readability and maintainability.
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