Understanding Generators in Python

What is the primary advantage of using generators over traditional iterators?

• Generators can handle more data types.

• Generators are easier to write.

• Generators consume less memory.

• Generators are faster in execution.

What happens when a function with 'yield' is called?

• It returns a tuple.

• It returns a list.

• It returns a generator object.

• It raises an exception.

How does a generator function differ from a regular function?

• It can only return strings.

• It uses 'return' instead of 'yield'.

• It cannot be looped over.

• It uses 'yield' instead of 'return'.

In the context of generators, what does the 'yield' keyword do?

• It exits the function immediately.

• It returns a value and pauses the function.

• It stops the function permanently.

• It converts the function into a list.

What is the purpose of the 'itertools.count' function in the prime number generator example?

• To count the number of primes found.

• To sort the prime numbers.

• To limit the number of iterations.

• To generate an infinite sequence of numbers.

What is a key characteristic of generator expressions?

• They use square brackets.

• They return a list.

• They are slower than list comprehensions.

• They use parentheses.

What is the main difference between list comprehensions and generator expressions?

• Generator expressions use parentheses.

• List comprehensions consume less memory.

• Generator expressions use square brackets.

• List comprehensions are faster.

What is the memory size of a generator object compared to a list comprehension?

• It depends on the data type.

• Generators are smaller.

• Generators are larger.

• They are the same size.

What is a potential outcome of using an infinite generator without a stopping condition?

• The program will return an error.

• The program will execute faster.

• The program will automatically stop.

• The program will run out of memory.

What is the purpose of the 'close()' method in a generator?

• To pause the generator.

• To convert the generator to a list.

• To stop the generator.

• To restart the generator.