What is the main purpose of a generator expression in Python?
A. To create new generators
B. To generate random numbers
C. To produce sequences of values lazily
D. To define classes
Answer: Option C
Solution(By Examveda Team)
The correct answer is Option C: To produce sequences of values lazily.Generator expressions in Python are used to produce sequences of values lazily, meaning they generate values on-demand as they are requested, rather than eagerly generating all values upfront. This lazy evaluation mechanism allows for efficient memory usage, especially when dealing with large datasets or infinite sequences. Generator expressions are concise and readable, making them a convenient way to define generators without the need for writing a separate generator function. They are often used in scenarios where a one-time sequence of values needs to be generated for processing or iteration.
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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