In the world of Python programming, dictionaries are a versatile data structure that allow you to store and retrieve key-value pairs with ease. But what happens when you need to store more complex data, where each value in the dictionary is itself a dictionary? Enter nested dictionaries — a powerful tool for organizing and manipulating hierarchical data.
Understanding Nested Dictionaries
Nested dictionaries are simply dictionaries within dictionaries. They allow you to create a multi-layered data structure, where each value in the outer dictionary can be another dictionary. This structure is particularly useful when you need to represent data that has a hierarchical or tree-like nature, such as:
- Storing information about employees and their departments
- Representing the structure of a website with pages and subpages
- Modeling complex data sets with multiple levels of detail
Here’s a simple example of a nested dictionary:
person = {
"name": "John Doe",
"age": 35,
"address": {
"street": "123 Main St"…
