"Today, I want to pull back the curtain and show you the anatomy of a Python project that's built to last. This is the setup I use for all my production projects. It's a blueprint that helps keep things sane, organized, and ready to grow without giving you a massive headache. We'll walk through everything-folder structure, config, logging, testing, and tooling. The whole package."
"Scales with Size: Your codebase is going to grow. That's a good thing! It means you're adding features. A scalable structure means you don't have to constantly refactor everything just to add something new. The foundation is already there. Scales with Your Team: If you bring on another developer, they shouldn't need a two-week onboarding just to figure out where to put a new function."
A durable Python project starts with a balanced folder structure that organizes code without excessive nesting, enabling easy addition of features. Centralized configuration supports seamless switching between local, staging, and production environments. Clear boundaries and predictable layout reduce onboarding time for new developers. Fast local setup, quick tests, and reliable Docker tooling minimize friction and let developers focus on building features. Logging and testing are core parts of the setup. The principles of scalability—scaling with size, team, environments, and speed—are language-agnostic and born from experience across multiple ecosystems such as TypeScript, Java, and C++.
Read at Efficient Coder
Unable to calculate read time
Collection
[
|
...
]