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I applied via Walk-in and was interviewed in Sep 2023. There was 1 interview round.
Decorators in Python are functions that modify the behavior of other functions or methods.
Decorators are denoted by the @ symbol followed by the decorator function name.
They allow you to add functionality to an existing function without modifying its code.
Common use cases include logging, authentication, and performance monitoring.
Example: @decorator_function def my_function(): pass
Generators in Python are functions that allow you to iterate over a sequence of items without storing them all in memory at once.
Generators use the 'yield' keyword to return data one item at a time
They are more memory efficient compared to lists as they generate values on the fly
Generators are used in situations where you need to iterate over a large sequence of items without loading them all into memory at once
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