How do generators compare to lists in terms of performance?
Generators are more memory efficient than lists because they yield items one at a time, rather than storing them all in memory.
Can you explain why that is?
Sure! Lists store all their elements in memory, which can be costly for large datasets. Generators, on the other hand, produce items on-the-fly, reducing memory usage.
Are there any downsides to using generators?
Yes, one downside is that generators can only be iterated once. After they are exhausted, you can't access the items again unless you recreate the generator.
In what scenarios would you recommend using a list instead of a generator?
If you need to access elements multiple times or require random access, lists are a better choice. They provide faster access to elements.
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