
6 Python Anti-Patterns That Are Slowing You Down
These six mistakes won’t break your app — but they will break your productivity.
Hi, I’m Aashish Kumar, a passionate software engineer from India 🇮🇳, specialize in Python | Django | AI | LLM | Full Stack Development.
These six mistakes won’t break your app — but they will break your productivity.
These libraries saved me hours, simplified my logic, and made my projects 10x easier to maintain.
Here’s how one Python concept transformed the way I structure code, handle logging, auth, and more.
Before you invest months learning a language, make sure it still has a future.
These Python design and idiomatic patterns will help you write code that’s cleaner, clearer, and easier to maintain.
Say goodbye to bloated try-except blocks — and hello to cleaner, more Pythonic error handling.
These type hints didn’t just clean up my code — they caught bugs before they ever reached production.
Why write five lines when Python lets you do it in one — without sacrificing readability?
Lists are powerful, but most devs overlook the better tools hiding in plain sight.
This one Python feature helps me write cleaner, safer, and more maintainable code — every single time.
These weren’t syntax errors — they were habits that made my code fragile, slow, and hard to maintain.
These subtle mistakes can silently kill performance — but they’re easy to fix once you know them.