Advanced Python OOP: 600 Practice Questions & Interview Prep
Crack Python interviews from fresher to experienced: 600 Qs on metaclasses, descriptors, decorators & patterns.
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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.
Learning Objectives
🔹Master metaclasses, new vs init, and class creation internals through 600 practice questions with detailed explanations.🔹Deeply understand descriptors, attribute lookup order, and slots internals — the mechanics behind property and ORMs.
🔹Navigate multiple inheritance, MRO, decorators, generators, and context managers with confidence and real interview fluency.
🔹Apply design patterns, understand GIL/concurrency implications, and avoid memory-management pitfalls in production Python code.
🔹Build and debug custom descriptors, properties, and validators used throughout real-world Python libraries and frameworks.
🔹Compare Singleton, Factory, Observer, and Strategy pattern implementations idiomatic to Python, not ported from Java/C++.
🔹Correctly implement weak references, del, and reference-cycle-safe designs to prevent subtle memory leaks in your apps.
🔹Answer senior-level Python interview questions on internals, design, and concurrency with clear, technically precise reasoning.
Prerequisites
🔹This is an advanced course, not a Python fundamentals course. You should already be comfortable writing classes, using inheritance, and working with functions and decorators at a basic level. No specific tools are required beyond a Python 3 interpreter (3.8+) to experiment with the concepts as you go — everything else, including all deeper OOP theory, is covered from the ground up within the course itself.🔹Familiarity with core Python OOP concepts — classes, instances, inheritance, and basic use of decorators — is assumed throughout.
🔹No prior experience with metaclasses, descriptors, or design patterns is expected; these advanced topics are taught from first principles.
Who This Course Is For
🔹This course is for intermediate Python developers ready to move beyond the basics and truly understand how the language works under the hood. It's ideal for developers preparing for mid-to-senior-level Python interviews, engineers who want to read and understand framework internals (Django, SQLAlchemy, pytest) rather than treat them as magic, and anyone who has used decorators, generators, or metaclasses without fully grasping how or why they work. It is not intended for complete beginners with no prior Python experience — this course builds directly on fundamental OOP knowledge rather than teaching it from scratch.🔹Backend and platform engineers who want to write more robust, idiomatic Python and make better architectural decisions in larger codebases.
🔹Anyone studying for a technical interview at a company that tests deep Python knowledge, not just syntax and basic algorithms.
Course Details
| Price | FREE |
| Views | 0 |
| Lectures | 0 |
| Duration | 600 questions |
| Last Update | 06-Aug-2026 |
| Release Date | 06-Aug-2026 |
| Category | IT & Software |
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This course includes:
📹 Video lectures
📄 Downloadable resources
📱 Mobile & desktop access
🎓 Certificate of completion
♾️ Lifetime access
