How is an asynchronous generator defined in Python?
A. Using the async yield keyword
B. Using the async generator keyword
C. Using the async def keyword with yield
D. Using the async keyword with a regular generator
Answer: Option D
Solution(By Examveda Team)
The correct answer is Option D: Using the async keyword with a regular generator.In Python, an asynchronous generator is defined by using the async keyword with a regular generator function. This means that you define a generator function using the def keyword, and then decorate it with the async keyword. This combination indicates to the interpreter that the generator function is asynchronous and can be used with asynchronous programming constructs such as await expressions. By using this syntax, you can create asynchronous generators that yield values lazily, allowing for efficient handling of asynchronous data streams.
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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