Week 3- Cont.-Decorator & Generators

Question 1

What is a decorator?

Answer 1

A decorator is a special function that enhances an existing function with additional functionality.

Question 2

What are the steps to create a decorator?

Answer 2

1. Decorator takes a function as an argument. 2. Decorator body should have an inner function. 3. Decorator should return a function. 4. The extra functionality can be added in the body of the inner function.

Question 3

What is a typical use case for decorators related to logging?

Answer 3

Decorators are used to log the input, output, or execution time of a function.

Question 4

How can decorators be used for caching?

Answer 4

Decorators can cache the results of a function that is expensive to compute by saving the output in a dictionary and returning it for the same input.

Question 5

What is the purpose of using decorators for validation?

Answer 5

Decorators can check the validity of the input or output of a function and raise exceptions if necessary.

Question 6

What are generators?

Answer 6

Generators provide an iterable series of values and use yield statements to suspend their state.

Question 7

What is a key benefit of using generators?

Answer 7

Generators offer a memory-friendly method of handling large or infinite datasets through lazy evaluation.

Question 8

How can generators assist in processing large datasets?

Answer 8

Generators can read and process large datasets in chunks without loading the entire dataset into memory.

Question 9

What is a typical use case for generators in implementing iterators?

Answer 9

Generators can create custom iterators that produce a sequence of values based on specific patterns or algorithms.