<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
Can you explain python generators in simple terms?<|im_end|>
<|im_start|>assistant
A generator in Python allows you to create functions that behave like iterators. In other words, it allows you to create a function that contains multiple values in a single object that you can iterate though.

For example, you could create a function that allows a user to iterate through the Fibonacci numbers with each sequential run or iteration using the following code:

```python

def FibonacciGenerator():
    yield 0
    yield 1
    x = 0
    y = 1
    while True:
        result = x + y
        x, y = y, result
        yield result

```
In this example, the function stops at each subsequent `yield` with each iteration- returning the Fibonacci value at that step.<|im_end|>
<|im_start|>user
Could you give me another example please?<|im_end|>
<|im_start|>assistant
Sure, here's another example of a generator function that generates all the even numbers between 0 and a given number `n`:

```python
def even_numbers(n):
for i in range(n):
if i % 2 == 0:
yield i
```

When you call this function with a value of `n`, it returns a generator object that you can use to iterate over all the even numbers between 0 and `n`:

```python
>>> evens = even_numbers(10)
>>> for num in evens:
... print(num)
...
0
2
4
6
8
```

Notice that the function only generates the even numbers as they are needed, rather than generating all the even numbers between 0 and `n` at once and storing them in memory. This can be especially useful when working with very large datasets or when you don't know exactly how many values you need to generate ahead of time.<|im_end|>