700+ Core Python Interview Questions MCQ Drill (MAANG)

700+ Core Python Interview Questions MCQ Drill (MAANG) free download

Solidify Your Python Fundamentals to Conquer Any Interview. Sharpen Your Python Problem-Solving Skills with Targeted MCQ

Are you preparing for a Python technical interview and want to solidify your foundational knowledge? Do you find yourself second-guessing answers to conceptual questions or struggling to recall the nuances of Python's built-in features? This course is your definitive solution!. Most of the questions are sourced from MAANG Company interview Questions.

What are MAANG Companies ? - Meta, Apple, Amazon, Netflix, Google

This comprehensive Python Interview MCQ Course is designed to transform your understanding of Python from theoretical knowledge into interview-ready expertise. We believe that true mastery comes from not just knowing the answer, but understanding why it's the correct one and how it applies in real-world scenarios. Through a curated collection of challenging multiple-choice questions, each accompanied by detailed, clear explanations, you'll gain the confidence to articulate your Python proficiency effectively.

What you'll gain from this course:

• Deepened Understanding: Move beyond surface-level knowledge to grasp the underlying principles of Python.

• Interview Confidence: Practice with questions commonly asked in technical interviews, reducing anxiety and improving performance.

• Problem-Solving Skills: Develop a sharper ability to analyze questions, identify key concepts, and choose the most Pythonic and efficient solutions.

• Comprehensive Coverage: Review and reinforce a wide array of essential Python topics.

Total MCQs: 700+

I. Beginner Level Topics (Easy)

(Approx. 150 MCQs)

1. Python Fundamentals & Syntax (40 MCQs)

Detailed Topics:

• Python Installation and Environment Setup: pip, virtualenv, venv

• Basic Syntax: Indentation, comments, keywords

• Variables: Naming conventions, dynamic typing

• Operators: Arithmetic, comparison, logical, assignment, bitwise, identity, membership

• Input/Output: print(), input()

• Data Type Conversion: int(), float(), str(), list(), tuple(), set(), dict()

• name == "main": Understanding purpose and usage

• PEP 8: Code style guidelines

Subtopics to Prepare:

• Python interpretation process

• Variable scope (local vs global)

• Operator precedence

• String formatting methods

• help() and dir() functions

2. Data Types and Data Structures (50 MCQs)

Detailed Topics:

• Numbers: Integers, floating-point, complex numbers

• Booleans: True, False

• Strings: Immutability, string methods, slicing

• Lists: Mutable, ordered, indexing, methods, comprehensions

• Tuples: Immutable, ordered, packing/unpacking

• Sets: Unordered, mutable, unique elements, operations

• Dictionaries: Key-value pairs, methods, comprehensions

Subtopics to Prepare:

• Choosing appropriate data structures

• Memory efficiency

• Shallow vs Deep Copy

3. Control Flow (30 MCQs)

Detailed Topics:

• Conditional Statements: if, elif, else

• Loops: for loop, while loop

• Loop Control: break, continue, pass

• else block with loops

Subtopics to Prepare:

• Nested loops

• enumerate() and zip() functions

4. Functions (30 MCQs)

Detailed Topics:

• Defining Functions: def keyword, parameters, return values

• Function Arguments: Positional, keyword, default, *args, **kwargs

• Lambda Functions: Use cases and limitations

• Scope: LEGB rule

• Nested Functions and Closures

• Recursion: Base case, recursive step

II. Intermediate Level Topics (Medium)

(Approx. 250 MCQs)

1. Object-Oriented Programming (80 MCQs)

Detailed Topics:

• Classes and Objects: Defining classes, instances, attributes, methods

• self keyword usage

• Constructors and Destructors: init, del

• Inheritance: Single, multiple, MRO, super()

• Polymorphism: Method overriding

• Encapsulation: Access modifiers, properties

• Abstraction: Abstract classes, abc module

Subtopics to Prepare:

• Magic methods

• Composition vs Inheritance

2. Modules and Packages (40 MCQs)

Detailed Topics:

• Creating and importing modules

• Packages: init py, importing from packages

• sys.path understanding

• Built-in modules: math, random, datetime, os, sys, json

• Third-party packages: pip, requirements.txt

3. Exception Handling (30 MCQs)

Detailed Topics:

• try, except, else, finally blocks

• Handling specific exceptions

• Raising exceptions

• Custom exceptions

• assert statement

4. Iterators and Generators (40 MCQs)

Detailed Topics:

• Iterators: iter, next, StopIteration

• Iterables vs Iterators

• Generators: yield keyword, generator expressions

• Memory efficiency advantages

5. Decorators (30 MCQs)

Detailed Topics:

• Function decorators

• Decorators with arguments

• functools.wraps

• Common use cases

6. Context Managers (20 MCQs)

Detailed Topics:

• with statement purpose

• enter, exit methods

• contextlib module

7. Memory Management and GIL (10 MCQs)

Detailed Topics:

• Reference Counting

• Garbage Collection

• Global Interpreter Lock: Impact on multi-threading

III. Advanced Level Topics (Hard)

(Approx. 200 MCQs)

1. Metaclasses (30 MCQs)

Detailed Topics:

• Class of a class concept

• type() as metaclass

• Custom metaclasses: new method

• Use cases

2. Descriptors (30 MCQs)

Detailed Topics:

• get, set, delete methods

• Property implementation using descriptors

• Use cases: validation, lazy loading

3. Concurrency and Parallelism (40 MCQs)

Detailed Topics:

• Threads: threading module, Lock, Queue

• Processes: multiprocessing module

• Asyncio: Event loop, coroutines, async/await

4. Advanced Data Structures & Algorithms (50 MCQs)

Detailed Topics:

• Collections Module: Counter, defaultdict, namedtuple, deque

• heapq module: Heaps and priority queues

• itertools module: chain, combinations, permutations

• functools module: partial, reduce, lru_cache

• Data Structures: Linked Lists, Stacks, Queues, Trees, Graphs

• Algorithms: Sorting, Searching, Dynamic Programming

5. Introspection and Reflection (20 MCQs)

Detailed Topics:

• type(), isinstance(), issubclass()

• getattr(), setattr(), hasattr(), delattr()

• dir(), vars()

• inspect module

6. Pickling and Serialization (10 MCQs)

Detailed Topics:

• pickle module usage

• Security considerations

• json vs pickle

7. Testing in Python (10 MCQs)

Detailed Topics:

• unittest module, pytest framework

• Test-Driven Development

• Mocking: unittest.mock

8. Common Design Patterns (10 MCQs)

Detailed Topics:

• Singleton pattern

• Factory Method pattern

• Observer pattern

• Strategy pattern

And Much More !!!