Question 1

What is a property in Python?

Accepted Answer

A property in Python lets you control access to class attributes using getter, setter, and deleter methods—like `@property`—turning method calls into attribute-like syntax. It’s a clean way to encapsulate data while keeping code intuitive. Great for managed attributes!

Question 2

What are metaclasses in Python?

Accepted Answer

Metaclasses in Python are classes that define how other classes behave—like a ‘class factory.’ They’re set with the `metaclass` keyword in a class definition and control class creation, letting you tweak attributes or methods. Deep magic for advanced customization!

Question 3

How does Python handle multithreading?

Accepted Answer

Python’s multithreading, via the `threading` module, runs multiple threads, but the GIL (Global Interpreter Lock) in CPython limits true parallelism for CPU-bound tasks—only one thread executes Python code at a time. It’s better for I/O-bound tasks; use `multiprocessing` for CPU work. A quirky reality!

Question 4

What is a generator in Python?

Accepted Answer

A generator in Python is a special type of iterator that generates values on the fly instead of storing them all in memory at once, which is awesome for handling large datasets. You create one with a function using `yield` instead of `return`, and each call to `next()` gives you the next value. It’s lazy evaluation at its finest—efficient and memory-friendly!

Question 5

What is the `asyncio` module?

Accepted Answer

The `asyncio` module in Python powers asynchronous programming, letting you run tasks concurrently with `async def` and `await`—like handling I/O without blocking. It’s great for network apps or tasks waiting on external resources. Modern and scalable!

Question 6

What is the difference between `__getattr__` and `__getattribute__`?

Accepted Answer

In Python, `__getattr__` handles attribute access only when the attribute’s missing—like a fallback—while `__getattribute__` runs for every attribute access, even if it exists. Use `__getattribute__` carefully to avoid infinite recursion; it’s more control, less safety. Subtle but critical!

Question 7

What is the difference between `__str__` and `__repr__`?

Accepted Answer

In Python, `__str__` gives a human-readable string representation of an object, like what you’d print for users, while `__repr__` aims for an unambiguous, developer-friendly version—often something you could eval. If `__str__` isn’t defined, `__repr__` steps in. It’s all about presentation versus precision!

Question 8

What does `nonlocal` do in Python?

Accepted Answer

The `nonlocal` keyword in Python lets a nested function modify a variable from an outer (but not global) scope—like `nonlocal x` to tweak an enclosing function’s `x`. It’s a scoping tool for when `global` is too broad. Tricky but useful in closures!

Question 9

What is multiple inheritance in Python?

Accepted Answer

Multiple inheritance in Python lets a class inherit from more than one parent—like `class Child(Parent1, Parent2):`—combining their traits. It’s flexible but can get messy with method resolution order (MRO), which Python handles via C3 linearization. Powerful when used wisely!

Question 10

What is a closure in Python?

Accepted Answer

A closure in Python is a nested function that remembers values from its enclosing scope even after that scope has finished executing—like a function with a backpack of variables. It’s created when an inner function references a variable from its outer function. Tricky but powerful for callbacks or data privacy!

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