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In the vast world of programming, understanding data structures is like having a well-organized toolbox. Python, a versatile and beginner-friendly programming language, offers a range of built-in data structures that can significantly enhance the efficiency of your code.
In this article, we’ll break down the basics of data structures in Python and explore how they can simplify your coding journey.
What are Data Structures?
Data structures are essentially a way to organize and store data in a computer’s memory. They play a crucial role in managing and manipulating information efficiently. Python provides several built-in data structures, each serving specific purposes. Let’s dive into the fundamental ones:
Lists: Your Go-To Dynamic Arrays
Lists are perhaps the most versatile data structure in Python. They act as dynamic arrays, allowing you to store and manipulate a collection of items. Creating a list is as simple as enclosing items in square brackets:
my_list = [1, 2, 3, 'hello', 5.0]
