How can I improve the performance of iterables in Python?
You can improve performance by using generator expressions instead of lists, and by utilizing built-in functions like map and filter.
What are generator expressions and how do they differ from list comprehensions?
Generator expressions produce items one at a time and are more memory efficient, while list comprehensions create the entire list in memory.
Are there any specific use cases where I should prefer one over the other?
Yes, use generator expressions for large datasets or when you only need to iterate through the data once. Use list comprehensions when you need to access the data multiple times.
Can you give me an example of using a generator expression?
Sure! Here's a simple example: sum(x*x for x in range(10))
calculates the sum of squares without creating a list.
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