💻 Stop writing messy Python: a Clean Code crash course
One of the major challenges for those of us who program in Python is not just making the code work… but making it readable, maintainable, and clean.
In their article “Stop Writing Messy Python – A Clean Code Crash Course”, KDnuggets shares a practical guide to move from chaotic scripts to projects any developer will be glad to maintain.
Key points from the article#
Clear, descriptive naming#
Variables like data, df, or x can work, but names like customer_orders or temperature_celsius save headaches.
Avoid code duplication#
If you’re copying and pasting whole blocks, it’s time to create reusable functions or classes.
Break code into small, focused functions#
A function should do a single thing. If it needs 50 lines to run, it can probably be split.
Use comments where they add value#
Clear, non-obvious comments. A good function name is better than a redundant comment.
Use style tools#
Linters like flake8 or formatters like black help you maintain a consistent style with no manual effort.
Why it matters#
- Makes team collaboration easier.
- Prevents hidden errors and bugs.
- Makes your “future self” not hate your “past self.”
In short, writing clean Python code isn’t optional if you want your projects to grow and be sustainable.
More information at the link 👇
