Epython Lab
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Most Python developers learn "import module" very early.
But one small habit can make your code much cleaner.
Instead of this:
import very_long_module_name
very_long_module_name.process_data()
Use an alias:
import very_long_module_name as vm
vm.process_data()
Or follow well-known community conventions:
✔ "import numpy as np"
✔ "import pandas as pd"
✔ "import matplotlib.pyplot as plt"
Why use aliases?
✅ Improve readability by reducing visual clutter.
✅ Write less without sacrificing clarity.
✅ Avoid naming conflicts between modules.
✅ Follow community conventions that every Python developer recognizes.
That said, do not create cryptic aliases just because you can.
❌ "import requests as r1"
❌ "import mymodule as x"
A good alias should still communicate intent. The goal is readable code, not shorter code.
Clean code is code that your future self and your teammates can understand in seconds.
I explain this with practical examples https://youtu.be/0GKxOJNRtPA
What is your favorite Python import alias?
#Python #Programming #SoftwareEngineering #CleanCode #PythonTips #Coding #Developers #LearnPython #CodeQuality
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