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What are Python Generators?

Generators in Python are a type of iterable, like lists or tuples, but unlike these data structures, generators do not store their contents in memory. Instead, they generate values on the fly and yield them one at a time. This is achieved using the yield keyword, which allows the generator to produce a sequence of values over time, pausing between each yield and resuming where it left off when the next value is requested. This makes generators particularly useful for working with large datasets or streams of data where loading everything into memory would be impractical.

Example of a Simple Generator in Python

def simple_generator(): yield 1 yield 2 yield 3 gen = simple_generator() for value in gen: print(value) When you run this code, it will print: 1 2 3

Each call to yield produces the next value in the sequence, and the generator maintains its state between yields. This allows you to iterate over potentially infinite sequences without requiring all the values to be stored in memory at once.

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