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
Answer: Option D
Solution(By Examveda Team)
The correct answer is Option D: They use less memory.Generators offer a significant advantage for handling large datasets because they use memory more efficiently. Unlike storing the entire dataset in memory at once, generators produce values lazily, one at a time, as needed. This means that only a small portion of the dataset needs to be in memory at any given time, reducing memory usage significantly. As a result, generators are particularly useful when working with datasets that are too large to fit into memory all at once, enabling more efficient and scalable processing.
This Question Belongs to Python Program >> Generators And Iterators
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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