What are Iterators in Python?
An iterator is an object that allows you to iterate over a sequence of values, such as a list or a string. It provides a way to access each element of the sequence in turn, without having to know the index of the element or the size of the sequence.
In other words, an iterator is an object that enables you to loop through a collection of items one at a time, without having to know the exact position of each item.
For example, a list has an iterator that allows you to loop through each item in the list, and a string has an iterator that allows you to loop through each character in the string.
Iterators are useful because they allow you to work with sequences of data in a more flexible and efficient way. You can use iterators to loop through large datasets, and you don't have to worry about the size of the dataset or the position of each element.
In Python, iterators are implemented using the built-in `iter()` function, which takes an object as an argument and returns an iterator object that can be used to iterate over the object. For example, you can use the `iter()` function to create an iterator for a list, a string, or any other sequence of data.
Here is an example of how you can use an iterator to loop through a list:
```
fruits = ['apple', 'banana', 'cherry']
for fruit in fruits:
print(fruit)
```
This code will output each item in the `fruits` list one at a time, without having to know the index of each item. The `for` loop will automatically iterate over each item in the list and execute the code inside the loop for each item.
In summary, iterators are objects that allow you to iterate over sequences of data in a more flexible and efficient way. They are useful because they allow you to work with large datasets without having to worry about the size of the dataset or the position of each element. In Python, iterators are implemented using the `iter()` function, which takes an object as an argument and returns an iterator object that can be used to iterate over the object.
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