Development

Have you ever wondered how Python finds your application code when running in a Docker container? If your source code lives in src/app/ during development, but Python can import app.main without any path manipulation in production, there’s some interesting machinery at work behind the scenes. Let’s explore how Python locates and executes installed code, using a real-world example: running a FastAPI application with python -m uvicorn app.main:app --host 0.0.0.0 --port 8080. ...

Rising Infrastructure Quality with YAML & JSON Schemas If you work in operations, DevOps, or platform engineering, you’re probably drowning in YAML files. Kubernetes manifests, Ansible playbooks, GitLab CI configurations, Helm charts—the list goes on. These YAML files control everything from cluster management and configuration to CI/CD pipelines and application deployments. But here’s the problem: YAML is notoriously forgiving. A typo, a missing field, or an incorrect indentation might not show up until you try to apply that configuration—and by then, it’s often too late. This is where JSON schemas come in, even though you’re working with YAML. ...

Python virtual environments behind the scenes If you’ve been working with Python for a while, you’ve probably heard about virtual environments. Maybe you’ve even used them without fully understanding what’s happening behind the scenes. In this comprehensive guide, we’ll explore everything you need to know about Python virtual environments—from the basic concepts to the underlying mechanisms that make them work. What is a Python Virtual Environment? A Python virtual environment is an isolated Python installation that allows you to install packages and dependencies for a specific project without affecting your system’s global Python installation or other projects. Think of it as a separate, self-contained workspace for each of your Python projects. ...