Access specific elements of a Dictionary

Accessing specific dictionary elements can be helpful when you want to retrieve or modify a particular value associated with a certain key in the dictionary. This is one of the significant features of dictionaries in Python, as it allows you to store and retrieve key-value pairs quickly and easily. 

Dictionaries are commonly used for storing and organizing data to make it easy to retrieve and modify specific elements, and mastering the techniques for accessing these elements is a key part of working with dictionaries effectively. For example, if you have a dictionary that stores the prices of various items in a store, you can access the price of a specific item by using its name as the key. This makes it easy to retrieve the price of an item when a customer wants to purchase it or to update the price of an item when it changes. In general, accessing specific dictionary elements is important for many tasks involving data manipulation and analysis in Python. 

With the sorted() function, we can sort an iterable's element in ascending order. If the iterable contains elements of different data types, sorted() will raise a TypeError. For example, sorted([5, 1, 3, 'a']) will raise a TypeError since it contains both integers and a string. The set() function is used to create a set object in Python. A set is an unordered group of unique elements. When you create a set from an iterable, Python automatically removes duplicate elements. So, set(sorted(iterable)) can be used to get an iterable sorted unique element. The iterable could be a list, tuple, or any other sequence type. 

This code showcases some common techniques used in Python for working with dictionaries, including iterating over key-value pairs, using sets to store unique elements, and using comprehensions to create new data structures based on existing ones. 

Here is an example of how to access the specific elements of a dictionary:- 

Preview of the output that you will get on running this code

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Environment Tested

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• This solution is created using Vscode version 1.75.1
• This solution is created using Python version 3.7.15

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