What is the purpose of using the yield from statement in generators?
A. To yield values directly
B. To yield values from another generator
C. To stop the generator
D. To skip a value
Answer: Option B
Solution (By Examveda Team)
The correct answer is Option B: To yield values from another generator.The yield from statement in generators is used to delegate the generation of values to another generator. When a generator encounters yield from, it delegates the generation of values to another iterable (which could be another generator), and yields values from it one by one. This simplifies the syntax for delegating to sub-generators, making the code more readable and concise. Additionally, it allows for the propagation of exceptions raised by the sub-generator back to the main generator.
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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