Advanced

Master production-grade Python: metaprogramming, memory management, high-performance computing, cryptography, and advanced architecture patterns.

Prerequisites: Complete Python Practitioner before starting Advanced labs.

Quick Start

🐳 Docker (Recommended)

docker pull zchencow/innozverse-python:latest
docker run --rm zchencow/innozverse-python:latest python3 --version

🐧 Linux / macOS

Labs

Lab 01 Metaprogramming

Metaclasses, __init_subclass__, type factory

Lab 02 AST & Bytecode

ast.parse, NodeTransformer, dis, compile

Lab 03 Memory Management

tracemalloc, __slots__, WeakValueDictionary, GC

Lab 04 Profiling & Performance

cProfile, timeit, memoization, numpy vs Python

Lab 05 Advanced Async

Semaphore, TaskGroup, producer-consumer, retry

Lab 06 ctypes & Binary

struct, binary file format, ctypes.Structure, TLV

Lab 07 Cryptography

hashlib, HMAC, PBKDF2, secrets, signed tokens

Lab 08 Advanced SQLite

Window functions, FTS5, CTEs, WAL, JSON

Lab 09 numpy Advanced

Broadcasting, einsum, vectorize, linear algebra

Lab 10 pandas Advanced

MultiIndex, time series, pipe(), ETL pipeline

Lab 11 Concurrency Advanced

ProcessPool, Actor pattern, BoundedBuffer, hybrid

Lab 12 Plugin Architecture

DI container, importlib, versioned plugins

Lab 13 Serialization

JSON encoder/decoder, pickle, struct frames, base64

Lab 14 Networking

Raw TCP, framing, urllib HTTP, asyncio streams

Lab 15 🏆 Capstone

Production data service — all techniques combined