How are values produced in a generator function?
A. Using the yield keyword
B. Using the return keyword
C. Using the print() function
D. Using the generate keyword
Answer: Option A
Solution(By Examveda Team)
The correct answer is Option A: Using the yield keyword.Values are produced in a generator function using the yield keyword. When a generator function encounters a yield statement, it temporarily suspends its execution and returns the yielded value. Subsequent calls to the generator function continue execution from where it was previously suspended, allowing it to generate values lazily, one at a time, as needed. This mechanism enables generators to efficiently handle large datasets or infinite sequences without loading all values into memory at once.
What is a generator in Python?
A. A function that generates random numbers
B. A special type of list
C. A way to define classes
D. A function that yields values one at a time
How is a generator different from a regular function?
A. A generator uses the return keyword
B. A generator can yield multiple values
C. A generator uses the break statement
D. A generator uses the continue statement
What is an advantage of using generators for large datasets?
A. They use more memory
B. They are slower than loops
C. They are easier to implement
D. They use less memory
How do you define a generator function in Python?
A. Using the generator keyword
B. Using the def keyword and yield statement
C. Using the gen keyword
D. Using the function keyword
Join The Discussion