Sure, I'd be happy to explain Python generators in simple terms!

In Python, a generator is a special type of function that allows you to generate a sequence of values on-the-fly, rather than generating them all at once and storing them in memory. This can be useful when working with large datasets or when you don't know exactly how many values you need to generate ahead of time.

To create a generator, you define a function that uses the `yield` keyword instead of `return` to generate each value in the sequence. When you call this function, it returns a generator object that you can use to iterate over the sequence of values.

Here's a simple example of a generator function that generates the first `n` Fibonacci numbers:

```python
def fibonacci(n):
a, b = 0, 1
for i in range(n):
yield a
a, b = b, a + b
```

When you call this function with a value of `n`, it returns a generator object that you can use to iterate over the first `n` Fibonacci numbers:

```python
>>> fib = fibonacci(10)
>>> for num in fib:
... print(num)
...
0
1
1
2
3
5
8
13
21
34
```

Notice that we didn't have to generate all 10 Fibonacci numbers at once and store them in memory. Instead, we generated each number on-the-fly as we iterated over the generator object.

I hope that helps! Let me know if you have any other questions.
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