What are the differences between lists and generators in Python?
Lists are collections that store multiple items, while generators produce items one at a time and only when requested.
Can you explain why I would use a generator instead of a list?
Generators are more memory efficient for large datasets since they yield items one at a time, reducing memory usage.
Are there any performance differences between the two?
Yes, generators can be faster for large data because they don't require loading all items into memory at once.
Can you give me an example of a generator in Python?
Sure! A simple generator can be created using a function with the 'yield' keyword. For example:
def count_up_to(n):
count = 1
while count <= n:
yield count
count += 1
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