beginner49 lessons · 6 phases
Python: Print to Production
A complete path through Python — from your very first print("Hello") to production-ready code. Covers core language fundamentals, intermediate patterns (decorators, generators, context managers), concurrency and type hints, building production APIs with FastAPI, applying Python to ML/AI with NumPy/Pandas/scikit-learn, and a bonus phase on CPython internals — bytecode, the object model, descriptors, metaclasses, and the import system.
pythonfundamentalsasyncoopfastapimachine-learning
prerequisites
- →No programming experience required — we start from installing Python
- →A willingness to type code out and run it, not just read it
you'll learn
- ✓Write idiomatic Python — from variables and control flow to classes and decorators
- ✓Use comprehensions, generators, and context managers the way experienced Python developers do
- ✓Understand concurrency in Python: threading, multiprocessing, and asyncio — and when to reach for each
- ✓Add type hints and mypy checking to a codebase without giving up Python's dynamism
- ✓Build production APIs with FastAPI — routing, Pydantic validation, auth, databases, and background tasks
- ✓Apply Python to ML/AI with NumPy, Pandas, Matplotlib/Seaborn, and scikit-learn pipelines
- ✓Go under the hood — CPython bytecode, the object model, descriptors, metaclasses, and the import system
course structure
Phase 1 — Python Foundations13Phase 2 — Intermediate Python13Phase 3 — Advanced Python6Phase 4 — FastAPI & Web APIs6Phase 5 — Python for ML & AI4Phase 6 — CPython Internals (Bonus)7
Phase 3 has a few gaps in the middle (dataclasses, memory management, and testing) that aren't written yet — everything else, including the FastAPI, ML/AI, and CPython Internals phases, is complete and ready to go.