Take your Python knowledge from "I can write classes" to "I understand how Python's object model actually works." This course is a 600-question practice test series covering the advanced OOP concepts that separate intermediate developers from senior engineers — the kind of material most tutorials skip entirely.

Each of the 6 full-length exams contains 100 multiple-choice questions with detailed, per-option explanations, so you understand exactly why each answer is right or wrong. Every question has been execute-verified against a real Python interpreter for accuracy.

Here's a sample question so you know what to expect:

Q: What does functools.lru_cache(maxsize=2) do when a fourth distinct call is made?

A) Raises an error, since the cache is full. Incorrect: the cache doesn't raise errors when full; it evicts instead.
B) Evicts the least-recently-used entry to make room for the new one. Correct.
C) Ignores the new call and returns the oldest cached result. Incorrect: the new call is still computed and cached.
D) Grows the cache automatically past maxsize. Incorrect: maxsize is a hard limit unless set to None.

What you'll cover across the 6 tests:

Test 1: Metaclasses & Class Creation Internals
Test 2: Descriptors & Advanced Attribute Access
Test 3: Advanced Inheritance, MRO & Protocols
Test 4: Decorators & Functional Tools Deep Dive
Test 5: Generators, Coroutines & Advanced Context Managers
Test 6: Design Patterns, Concurrency & Advanced Interview Scenarios

This course is built for developers who already know Python OOP basics and want to understand what's actually happening under the hood — why __slots__ breaks weak references, how the descriptor protocol powers @property, why the GIL doesn't make your code automatically thread-safe, and how to reason precisely about MRO in multiple inheritance.

No videos, no filler — just focused, technically rigorous practice that will make you a sharper, more deliberate Python developer.