How is a generator object iterated in a for loop?
A. Using the yield keyword
B. By using the next() function
C. By using the for keyword
D. By using the get() method
Answer: Option C
Solution(By Examveda Team)
The correct answer is Option C: By using the for keyword.A generator object is iterated in a for loop by using the for keyword. When you use a for loop to iterate over a generator object, Python automatically calls the next() function on the generator object to retrieve each value yielded by the generator function. This process continues until the generator function is exhausted, at which point the loop terminates. This convenient syntax allows you to easily iterate over the values produced by a generator without explicitly calling next() or managing the loop termination condition.
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
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