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A preview from our curated question bank. The generator produces fresh, AI-tailored questions on each run.
What is the difference between a list and a tuple in Python?
Tip: Lists are mutable, tuples are immutable. Tuples are faster and can be used as dictionary keys. Use tuples for fixed collections (coordinates, RGB), lists for data that changes.
What is the Global Interpreter Lock (GIL) in Python? How does it affect concurrency?
Tip: The GIL is a mutex that prevents multiple native threads from executing Python bytecode simultaneously, so threads cannot achieve true CPU parallelism in CPython. Workaround: use multiprocessing for CPU-bound tasks, asyncio for I/O-bound tasks.
Explain Python decorators. Write a simple logging decorator.
Tip: A decorator is a function that wraps another function to add behaviour without modifying it. Pattern: `def log(func): def wrapper(*args, **kwargs): print(func.__name__); return func(*args, **kwargs); return wrapper`. Use `functools.wraps` to preserve metadata.
What are Python generators? How do they differ from regular functions returning a list?
Tip: Generators use `yield` and are lazy — they produce one value at a time, keeping only the current state in memory. A function returning a list loads all values at once. Use generators for large datasets, infinite sequences, or pipelines.
What is the difference between `@staticmethod` and `@classmethod` in Python?
Tip: `@staticmethod` takes no implicit first argument — just a regular function namespaced in a class. `@classmethod` takes `cls` as first arg — it can access class state and is used for factory methods. Instance method takes `self` and can access both instance and class.
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