The benefits of Python's iteration model

Iteration over all container types is done in a uniform way

No need to remember different method names and paradigms
Minimal changes to code when changing data structures

C++ collection of data: queue

queue<int> container;
// assume stuff has been put in the container
queue<int> temp = queue<int>();
while (container.size() > 0) {
    int element = container.front();
    // do something with element
    container.pop();
    temp.push(element);
}
delete container;
container = temp;

C++ collection of data: vector

vector<int> container;
// assume stuff has been put in the container
int i, size;
size = container.size()
for (i = 0; i < size; i++) {
    int element = container[i];
    // do something with element
}

Python collection of data: any collection!

# container is some container with stuff in it
for element in container:
    # do something with element

All containers can support iteration

All built-in containers (list, set, dict, tuple, etc.) support the container protocol, which includes iteration
User classes can support iteration as well

The code becomes much more succinct

See examples above. Note that the important part of our code is "do something with element". In the C++ code, that is buried among the code that initializes and performs iteration. In Python, there is no extraneous iteration code.

How Python interprets a for loop