Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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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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