What is the advantage of using generator expressions over list comprehensions?
A. Generator expressions are faster
B. List comprehensions consume less memory
C. Generator expressions return lists
D. List comprehensions are more readable
Answer: Option B
Solution (By Examveda Team)
The correct answer is Option B: List comprehensions consume less memory.List comprehensions and generator expressions both offer a concise syntax for creating sequences in Python. However, one advantage of using generator expressions over list comprehensions is that generator expressions consume less memory. While list comprehensions eagerly generate all values and store them in memory as a list, generator expressions produce values lazily, one at a time, as they are requested. This lazy evaluation mechanism allows generator expressions to save memory, especially when dealing with large datasets or infinite sequences. Therefore, generator expressions are more memory-efficient compared to list comprehensions.
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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