![]() ![]() Stack, Queue, Linked List, Tree, Graph, and HashMap are examples of these. In Python, there is another type of data structure called user-defined which is basically derived from an existing data type. In this section, well learn basic data structures such as list, dict, set, and tuple. Today, in this Python Data Structures Tutorial, we will talk about different data structures that Python. Python comes with an extensive set of data structures in its standard library. Earlier we have discussed Python Operators. list: Mutable Dynamic Arrays tuple: Immutable Containers array. Data structure provides a way to organize and access data efficiently. Data type / data structure: Ordered sequence of objects (which can be different data types) In square brackets, separated by commas 'Andrew Smith',2000,'Beginner' dict. ![]() Non-primitive data types include List, Array, Tuples, Dictionary, Sets, and Files, while primitive data types include Integers, Float, Strings, and Boolean. In Python, Data structures are the fundamental constructs that we can use to store multiple values. Rather than storing a single value, non-primitive data structures store a collection of values in various formats. Primitive data structures are the most basic forms of representing data, hence the name primitive, whereas non-primitive structures are meant to organize and handle sets of primitive data. One method is to classify them as primitive or non-primitive data types. In other words, this is a way to organize and store information, relate them and perform logical operations accordingly.ĭata structures can be categorized in a variety of ways. Let’s get started!Īs the name suggests, data structures are basically structures that can hold some data together. In this article we are going to have a detailed discussion about the different types of data structures in Python, and understand them while getting our hands dirty with codes. Whether it's a real-world problem or a simple coding query, a comprehension of data structures is important for finding the correct answer. So, how do we go about accomplishing this? We use something called data structures.ĭata structure is one of the most fundamental concepts of computer science and an indispensable tool for any programmer. In order for all of this to be possible, data plays quite a crucial role, which implies that it must be stored efficiently and we should be able to access it timely. Python is used in a wide range of fields around the world, including website development, artificial intelligence, task automation, data analysis, data visualization and much more.
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