If your code is hard to test, hard to reuse, and hard to change, you’re probably hardcoding your dependencies. It’s one of the most common architectural problems I see in Python code, even in production systems. In this week's video, I take a small but realistic example, a data pipeline that loads, transforms, and exports some records, and show you how Dependency Injection can turn it from a rigid mess into something clean, testable, and modular. No frameworks required. You’ll learn: Why...

Hi there, Most apps only store the final result: the current balance, the current inventory, the current status. But what if you could track every change that led to that result? That’s exactly what the event sourcing pattern allows you to do. Instead of overwriting state, you store a sequence of immutable events and derive the current state by replaying them. It’s like Git (kinda), but for your domain logic. In this week’s video, I show you how to implement event sourcing in Python from...

Hi there, If you’ve been learning Python for a while and still feel like you’re not improving, you’re not alone. Python feels easy at first. The syntax is clean, the barrier to entry is low, and you can build something useful in your first hour. But then… things get weird. You hit a wall. There’s object-oriented programming. Then functional programming. Then decorators, dunder methods, typing, Protocol, mypy, async… And somehow Python lets you write the same thing five different ways, and...