Practitioner

15 labs covering real-world Python engineering: async I/O, type-safe APIs, data pipelines, design patterns, and CLI tooling.

Labs

#	Lab	Key Skill
01	Advanced OOP	Metaclasses, descriptors, Protocol, ABC
02	Decorators	Parameterized, class-based, lru_cache, retry
03	Generators & itertools	yield from, lazy pipelines, groupby
04	Concurrency	threading, Lock, ThreadPoolExecutor
05	Async / Await	asyncio.gather, tasks, async generators
06	Testing with pytest	Fixtures, parametrize, mocking
07	Type Hints & Generics	TypeVar, Generic, TypedDict, Protocol
08	SQLite & Database	sqlite3, transactions, Repository pattern
09	REST APIs — FastAPI	Pydantic, dependency injection, TestClient
10	Data Processing	pandas groupby/merge, numpy vectorized ops
11	CLI Tools	argparse subcommands, rich tables/panels
12	Design Patterns	Singleton, Factory, Observer, Command
13	Packaging & Modules	pyproject.toml, init.py, importlib
14	Context Managers & Protocols	Dunder methods, descriptors, slots
15	Capstone — DataPipeline	Async + FastAPI + SQLite + pandas + pytest

Prerequisites

• Python Foundations (Labs 01–15) or equivalent experience

• Basic familiarity with: OOP, functions, file I/O, exceptions

Run All Labs

docker pull zchencow/innozverse-python:latest

# Run any lab's code block:
docker run --rm zchencow/innozverse-python:latest python3 -c "<paste code here>"