Hey everyone, Python’s flexibility is great, but if you're working on a larger project it becomes hard to make sure not everything depends on everything else. There is a way to avoid that trap, and that's by using abstractions. Unfortunately, I often see production code with way too much coupling that can be easily improved by relying on abstractions. This week’s video shows simple abstractions using Callable, ABC, and Protocol. You’ll learn how to: Reduce unnecessary imports Decouple your...

Hey everyone, I was reviewing some of the projects I’ve worked on over the past year, and I noticed something interesting: I almost never use Python’s @dataclass anymore. Not because it’s bad. In fact, dataclasses are still a great feature of the language. But as my projects have grown more complex, especially with tools like FastAPI, Pydantic, and SQLAlchemy, I’ve found that dataclasses just… don’t fit the way I design software anymore. In my latest video, I dive into this in detail. You’ll...

Hi there, You’ve probably heard that serverless is the easiest way to deploy code to the cloud. And on the surface, it is. With Google Cloud Functions, you can literally deploy a simple Python function like this: def hello(request): return "Hello from Cloud!" A few lines of code. No servers. No infrastructure. But... there are quite a few limitations: No FastAPI or async support One route per function requirements.txt only, no pyproject.toml Cold starts for large dependencies No custom...