Python Backend Interview Master
200+ Python interview questions covering GIL internals, memory management, garbage collection, generators, decorators, asyncio, and backend patterns.
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What is Python?
Python is a high-level, interpreted, general-purpose programming language. It is known for its simplicity, readability, and vast library support, making it ideal for web development, data science, and automation.
What is the difference between list and tuple?
Lists are mutable (can be changed) and use square brackets []. Tuples are immutable (cannot be changed) and use parentheses (). Lists are generally slower than tuples.
What is PEP 8?
PEP 8 is the official Style Guide for Python Code. It provides guidelines on how to format code to improve readability and consistency across the Python community.
How is memory managed in Python?
What are Python namespaces?
What is the difference between 'is' and '=='?
What are Python decorators?
Explain list comprehension.
What is a docstring?
What are *args and **kwargs?
What is the difference between deep copy and shallow copy?
How do you handle exceptions in Python?
What is the purpose of 'self' in classes?
What is a lambda function?
Explain the 'with' statement.
What is 'pass' in Python?
What is the difference between range and xrange?
How do you reverse a list?
What are global and local variables?
Explain the use of 'yield' keyword.
What is a dictionary in Python?
How do you comment in Python?
What is the difference between break, continue, and pass?
How do you find the length of a string?
What is slicing in Python?
Explain map() function.
Explain filter() function.
Explain reduce() function.
What is an init method in Python?
What is the difference between a set and a list?
How do you create a function in Python?
What is a module in Python?
What is a package in Python?
Explain the use of 'global' keyword.
Explain 'nonlocal' keyword.
What is an iterable in Python?
What is an iterator?
What is a generator?
How do you convert a string to an integer?
How do you check the type of an object?
What is the use of 'dir()' function?
What is 'help()' in Python?
How do you read input from a user?
What is the difference between append() and extend()?
What is 'join()' method in strings?
What is 'split()' method?
Explain 'getattr' and 'setattr'.
What is the difference between sorted() and sort()?
What is a Boolean in Python?
How do you open a file for writing?
Explain the Python Global Interpreter Lock (GIL).
How do you bypass the GIL?
What is the difference between Threading and Multiprocessing?
Explain 'Monkey Patching'.
What are 'Class Methods' and 'Static Methods'?
Explain 'MRO' (Method Resolution Order).
What is 'super()'?
What are 'Metaclasses'?
Explain 'Abstract Base Classes' (ABCs).
What is 'Pickling' and 'Unpickling'?
What is a Context Manager?
How do you create a custom Context Manager?
Explain 'Duck Typing'.
What is 'F-strings' in Python?
Explain 'Property' decorator.
What is 'Descriptor' in Python?
What is 'slots' in Python classes?
Explain 'Walrus Operator' (:=).
What is the difference between 'asyncio' and 'threading'?
Explain 'Coroutine'.
What is 'FastAPI'?
What is 'Django'?
What is 'Flask'?
What is 'WSGI' vs 'ASGI'?
Explain 'Pydantic'.
What is 'Celery'?
What is 'Alembic'?
Explain 'SQLAlchemy'.
What is 'Unit Testing' in Python?
What is 'Mocking' in testing?
Explain 'Pytest' fixtures.
What is 'Virtual Environment'?
What is the 'PyPi'?
Explain 'Pipenv' and 'Poetry'.
What is 'Gunicorn'?
What is 'Uvicorn'?
Explain 'CORS' in web APIs.
What is 'JWT' in Python?
Explain 'Session' vs 'Token' based authentication.
What is 'Middleware' in Django/FastAPI?
Explain 'Nginx' role in deployment.
How to handle 'Recursive Queries' in ORM?
Explain 'N+1 Query Problem'.
What is 'Redis' used for in Python backends?
Explain 'WebSockets' in Python.
How to perform 'Profiling' in Python?
What is 'Circular Import' and how to fix it?
Explain 'Weakref'.
What is 'Itertools' module?
What is 'Functools' module?
How does Python's Garbage Collector work?
Explain 'Bytecode' vs 'Machine Code'.
What is 'JIT' Compilation in Python?
Explain 'Frame Objects' in Python.
What is 'Introspection' in Python?
How to optimize Python for performance?
Explain 'descriptors' deep dive.
What is 'Zero-copy' in Python?
Explain 'Memoryview'.
Security: What is 'SQL Injection' and how to prevent it?
Security: What is 'XSS' in Python web apps?
Explain 'Microservices' communication in Python.
What is 'gRPC' in Python?
Explain 'Saga Pattern' in distributed transactions.
What is 'CAP Theorem'?
Explain 'Horizontal' vs 'Vertical' Scaling.
What is 'Serverless' in Python backend?
Explain 'Clean Architecture' in Python.
What is 'Twelve-Factor App' methodology?
Explain 'Consistent Hashing'.
What is 'Database Sharding'?
Explain 'Rate Limiting' algorithms.
What is 'Circuit Breaker' in Python microservices?
How to handle 'Distributed Tracing'?
Explain 'Event Sourcing'.
What is 'CQRS'?
Deep Dive: 'asyncio' event loop internals.
What is 'Contextvars'?
Explain 'Data Classes' vs 'NamedTuple'.
What is 'Type Checking' in Python production?
Explain 'Cython'.
What is 'Numba'?
How to implement 'Custom Import Hooks'?
Explain 'interning' in Python strings.
What is 'object.__new__'?
Explain 'Python Object Model'.
What is 'C3 Linearization'?
How to handle 'Heavy Background Jobs' in Django?
Explain 'Optimistic' vs 'Pessimistic' Locking.
What is 'Query Optimization' techniques?
Explain 'Blue-Green' vs 'Canary' deployment.
What is 'Sidecar Pattern' in K8s (Python context)?
How to secure 'Sensitive Config'?
Explain 'Zero-Downtime' migrations.
What is 'Thundering Herd' problem in Cache?
Explain 'GraphQL' in Python Backend.
What is 'Web Scraping' ethical/technical considerations?
Explain 'Observability' vs 'Monitoring'.
How to implement 'Multi-tenancy'?
What is 'Chaos Engineering' in Python backend?
Fibonacci sequence generator.
Check if a string is a palindrome.
Find duplicate items in a list.
Sort a list of dictionaries by a key.
Read a file line by line.
Flatten a nested list.
Group list items by frequency.
Implement a simple decorator.
Merge two dictionaries.
Factorial using recursion.
Check if all items in list are unique.
Convert list of tuples to dictionary.
Find the intersection of two lists.
Implement a Singleton pattern.
Filter even numbers from a list.
Reverse words in a sentence.
Find the most common element in a list.
Measure execution time of a function.
Convert snake_case to CamelCase.
Get the last N items of a list.
Implement Binary Search.
Chunk a list into smaller pieces.
Remove whitespace from string.
Generate a random string.
Check if a variable is an integer.
Remove None values from a list.
Get current date and time.
Format a date string.
Exception chaining.
Deep clone an object.
Check for prime numbers.
Find missing number in array.
Implement a stack.
Implement a queue.
Map function to nested list.
Intersection of two dictionaries.
How to read environment variables.
Zip two lists into a dictionary.
Create a temporary file.
Check for anagrams.
Find the GCD of two numbers.
Convert integer to binary string.
Implement a simple timer class.
Sort list using custom comparator.
Get memory usage of an object.
How to capture stdout.
Parse JSON string.
Check if file exists.
Simple async function loop.
Check if string starts with prefix.
Technical Interview Mastery Blueprint
Proven methodologies and frameworks to succeed in technical and architecture rounds.
1. The Engineering STAR Technique
When responding to architectural or situational questions, structure your answer using Situation, Technical Constraint, Action, and Measurable Result. Rather than jumping straight to syntax, articulate the business problem, why certain patterns (e.g. caching, queuing, immutability) were selected over alternatives, and what latency or throughput improvements were achieved.
2. Defending Architectural Trade-Offs
Senior interviewers evaluate how you weigh trade-offs. Always explain why you chose an approach: e.g., memory overhead vs CPU cycle speed, consistency vs availability (CAP theorem), or normalized schemas vs denormalized fast reads. Stating the drawbacks of your own proposal demonstrates maturity and production experience.
3. Clean Code & Edge-Case Proactivity
In live-coding rounds, communicate your thinking aloud before typing. State edge cases explicitly: null or undefined inputs, extreme boundary values, concurrency races, and network timeouts. Writing modular, well-named functions with deterministic unit tests separates junior candidates from staff-level engineers.
4. Antipatterns to Avoid
Avoid reciting memorized definitions without practical context. Never dismiss non-functional requirements such as security (CSRF, injection, token rotation), observability (logging, metrics), and accessibility (ARIA, semantic standards). Always ask clarifying scope questions before writing complex implementations.
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