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
Answer: Option D
Solution(By Examveda Team)
The correct answer is Option D: A function that yields values one at a time.Generators in Python are functions defined using the yield statement. They generate values lazily, one at a time, allowing for efficient memory usage, especially with large datasets. When called, a generator function returns an iterator object but does not start execution immediately. Instead, it suspends its state and resumes execution when the next() method is called on the iterator object. This makes generators a powerful tool for handling large datasets or infinite sequences efficiently.
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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