Basic & Advance Python Interview Questions

Explanation for Python Question 1: Lists are mutable (can be altered after creation) and defined with `[]`. Tuples are immutable (read-only) and defined with `()`. Understanding this concept helps write clean, idiomatic Python code.

Explanation for Python Question 2: Decorators modify the behavior of a function or class dynamically without altering its source code. They wrap functions using the `@decorator` syntax. Understanding this concept helps write clean, idiomatic Python code.

Explanation for Python Question 3: The GIL is a mutex in CPython that ensures only one thread executes Python bytecode at a time, limiting multi-core utilization in CPU-bound threads. Understanding this concept helps write clean, idiomatic Python code.

Explanation for Python Question 4: List comprehensions offer a concise, readable syntax for creating lists from existing iterables: `[x*2 for x in items if x > 0]`. Understanding this concept helps write clean, idiomatic Python code.

Explanation for Python Question 5: Generators are functions that return an iterator. They yield values one at a time using `yield`, keeping memory footprint minimal for large datasets. Understanding this concept helps write clean, idiomatic Python code.