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In Python, both maps and dictionaries are used to store and manage collections of key-value pairs. While they share similarities, there are subtle differences between the two. This tutorial aims to clarify the distinctions and provide code examples to illustrate their usage.
A map in Python typically refers to the built-in map function, which applies a specified function to all items in an input list (or other iterable). The result is a new iterable with the transformed values.
Output:
In this example, the map function applies the square function to each element in the numbers list, resulting in a new list with the squared values.
A dictionary in Python is a built-in data type that stores key-value pairs. Each key must be unique, and you can use the key to access its corresponding value efficiently.
Output:
In this example, student_ages is a dictionary where the keys are student names, and the values are their ages. You can access a specific age by using the corresponding key.
Purpose:
Data Structure:
Accessing Values:
Uniqueness:
Choose between a map and a dictionary based on the specific requirements of your task. If you need to transform elements in an iterable, use map. If you need to associate values with keys for efficient access, use a dictionary.
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