2 2 3 Lists in Python

Key Concepts

2 2 3 Lists in Python refer to lists that are nested within each other, creating a structure where each list contains two elements, followed by another list with two elements, and finally a list with three elements. This structure is often used to represent hierarchical data or to organize data in a specific format.

Explanation of 2 2 3 Lists

A 2 2 3 List is a nested list structure where:

The first level of the list contains two elements.
Each of these elements is itself a list containing two elements.
The third level of the list contains three elements.

Example

Consider the following example of a 2 2 3 List:

nested_list = [
    [1, 2],
    [3, 4],
    [5, 6, 7]
]

In this example:

The first element of the outer list is [1, 2].
The second element of the outer list is [3, 4].
The third element of the outer list is [5, 6, 7].

Accessing Elements

To access elements within a 2 2 3 List, you can use multiple indices. For example, to access the number 6 in the above list:

print(nested_list[2][1])  # Output: 6

Here, nested_list[2] refers to the third element of the outer list, which is [5, 6, 7]. Then, nested_list[2][1] refers to the second element of this inner list, which is 6.

Modifying Elements

You can also modify elements within a 2 2 3 List. For example, to change the number 4 to 9:

nested_list[1][1] = 9
print(nested_list)  # Output: [[1, 2], [3, 9], [5, 6, 7]]

This code changes the second element of the second inner list from 4 to 9.

Iterating Through a 2 2 3 List

To iterate through all elements in a 2 2 3 List, you can use nested loops. For example:

for sublist in nested_list:
    for item in sublist:
        print(item)

This code will print each element in the nested list, one by one.

Conclusion

2 2 3 Lists are a powerful way to organize and manipulate hierarchical data in Python. By understanding how to create, access, modify, and iterate through these lists, you can effectively manage complex data structures in your Python programs.