Python Programming: Dive Into Data Structures and Collections

What are the common data structures used in Python programming?

1. Lists

2. Tuples

3. Dictionaries

4. Sets

5. Arrays

Answer:

The common data structures used in Python programming are lists, tuples, dictionaries, sets, and arrays. Each of these data structures has its own unique characteristics and functionalities that make them suitable for different types of tasks.

Python programming language provides various built-in data structures that allow developers to store and manipulate data efficiently. One of the most commonly used data structures in Python is a list, which is a collection of elements that can be of different data types. Lists are mutable, which means that they can be modified after creation.

Another widely used data structure in Python is tuples, which are similar to lists but are immutable, meaning that their elements cannot be modified once they are created. Tuples are often used to store fixed collections of data like coordinates or configuration settings.

Dictionaries in Python are key-value pairs that provide a way to map keys to values. Dictionaries are useful for storing and accessing data based on a specific key rather than an index. Sets are another data structure in Python that store unique elements without any specific order.

Arrays in Python are used to store collections of elements of the same data type. They are more memory-efficient than lists for manipulating large sets of numeric data. Understanding these common data structures will help you write more efficient and organized Python code.