Python Generator Expressions vs List Comprehensions

Python practice 🚀 Day 2 of My Python Learning Journey: Today I explored Generator Expressions in Python and how they differ from list comprehensions. Example: numbers = [1,2,3,4] g = (x*x for x in numbers) print(list(g)) print(list(g)) Output: [1, 4, 9, 16] Output: [] Generator expressions create values one at a time unlike list unless you explicitly typecast it as list while printing, making them memory efficient. once a generator is fully consumed, it becomes exhausted, which is why the second print returns an empty list. 💡 Insight here is that generators are very useful when working with large datasets or streaming data, where storing everything in memory is not practical. #Python #Learning #DataScience

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