Course Includes:
- Price: FREE
- Enrolled: 0 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
Coupon verified 01:39 PM (updated every 10 min)
Course Folder
What You'll Learn
- 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.
Requirements
- 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.
Description
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.
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. Its 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.
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