How can I manage memory usage in Python using generators?
Using generators in Python allows you to iterate over large datasets without loading everything into memory at once.
Can you give me an example of a generator function?
Sure! Here's a simple generator function that yields squares of numbers:
def generate_squares(n):
for i in range(n):
yield i ** 2
How does this help with memory usage?
This helps because it generates each square on-the-fly, using only a small amount of memory instead of storing all squares in a list.
Are there any downsides to using generators?
Yes, one downside is that you can only iterate through the data once. If you need to access the data multiple times, you'll need to regenerate it.
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