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
Answer: Option B
Solution(By Examveda Team)
The correct answer is Option B: A generator can yield multiple values.Generators and regular functions in Python are different in how they operate. Regular functions use the return keyword to return a single result and terminate execution. In contrast, generators use the yield keyword to produce a sequence of values lazily. Generators can yield multiple values over successive calls to the next() function or through iteration, whereas regular functions return only once. This feature of generators enables them to efficiently handle large datasets or infinite sequences without consuming excessive memory.
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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