#9 – Niche Features

Question 1

What is a decorator in Python?

Answer 1

A decorator is a function that modifies another function or method. It uses @ syntax.

Question 2

How do you write a simple decorator?

Answer 2

Define a function that returns a wrapper function.

def decorator(func):     def wrapper():         print('Before')         func()         print('After')     return wrapper

Question 3

How do you apply a decorator?

Answer 3

Use @decorator_name above the function.

@decorator def greet():     print('Hi')

Question 4

What is a generator in Python?

Answer 4

A generator is a function that yields values one at a time using yield, maintaining state between calls.

Question 5

How do you define a generator function?

Answer 5

Use yield instead of return.

def count_up():     yield 1     yield 2

Question 6

How do you get values from a generator?

Answer 6

Use next() or loop over it.

gen = count_up() next(gen)

Question 7

What is a context manager?

Answer 7

An object that defines \_\_enter\_\_ and \_\_exit\_\_ methods, often used with with to manage resources.

Question 8

How do you use a context manager?

Answer 8

With the with statement.

with open('file.txt') as f:     data = f.read()

Question 9

How do you define a custom context manager?

Answer 9

Use a class with \_\_enter\_\_ and \_\_exit\_\_, or use the contextlib module.

Question 10

What is a list comprehension?

Answer 10

A compact way to create lists.

[x*2 for x in range(5)]

Question 11

How do you write a list comprehension with condition?

Answer 11

Add an if clause.

[x for x in range(5) if x % 2 == 0]

Question 12

What makes Python unique compared to many other languages?

Answer 12

Its emphasis on readability, dynamic typing, strong community, and support for multiple paradigms.