The Python Developer trek
From Python basics to production-grade services. Async, testing, packaging, web frameworks, databases, Docker, and the tooling modern teams actually use.
Python foundations
Variables, types, control flow, functions, and the standard library you will reach for every day. Idiomatic Python from day one.
Object-oriented Python
Classes, protocols, dataclasses, composition vs inheritance, and when to prefer plain functions over objects.
Type hints & static analysis
mypy, pyright, and writing code that editors and CI can verify. Generics, TypeVar, and the difference between static and runtime checking.
Testing with pytest
Unit tests, fixtures, parametrize, mocking, property-based testing, and coverage-driven development.
Async Python
The event loop, coroutines, asyncio primitives, and building I/O-bound services that handle thousands of concurrent connections.
Web APIs with FastAPI
Build, document, and deploy REST APIs with FastAPI, Pydantic v2, dependency injection, background tasks, and proper error handling.
Databases & ORMs
SQLAlchemy 2.0, Alembic migrations, connection pooling, and writing queries that survive 10x traffic.
Caching & performance
Redis for caching, profiling Python code, and the techniques that actually move the needle on latency.
Security best practices
Input validation, secrets management, SQL injection, XSS, dependency auditing, and writing Python code that doesn't get you breached.
Packaging & tooling
uv, ruff, pyproject.toml, publishing to PyPI, and reproducible builds that work on any machine.
Docker & deployment
Containerize Python services correctly. Multi-stage builds, secrets handling, health checks, and production-ready images.
CI/CD & observability
GitHub Actions pipelines, structured logging, distributed tracing, and the feedback loops that let you ship with confidence.
Capstone — ship a production service
Plan, build, deploy, and document a complete production Python service. Open-source it. Get one engineer review.
Trek complete. What's next?
You've walked the full roadmap. Now ship the capstone, write about it, and share the path with the next engineer who needs it.