What Are Types of Data Structure in Python?


Angela Bailey

Data structures are an integral part of any programming language, including Python. They help in organizing and storing data efficiently, allowing for easy manipulation and retrieval.

Python provides several built-in data structures that cater to different needs. In this article, we will explore some of the commonly used data structures in Python and understand their characteristics.

1. Lists:

In Python, a list is a versatile and widely used data structure that allows you to store multiple items in a single variable.

Lists are mutable, meaning you can modify their elements after creation. They can contain elements of different data types such as integers, strings, or even other lists.

  • Creating a List: To create a list, enclose the elements within square brackets ([]).
  • Indexing: Elements in a list can be accessed using index numbers starting from 0.
  • List Methods: Python provides various built-in methods like append(), insert(), remove(), etc., to manipulate lists.

2. Tuples:

A tuple is similar to a list but is immutable, meaning its elements cannot be modified once defined. Tuples are typically used when you want to store related pieces of information together but don’t want them to be changed accidentally.

  • Creating a Tuple: To create a tuple, enclose the elements within parentheses ().
  • Tuple Packing & Unpacking: You can pack multiple values into a single tuple or unpack the values into separate variables.
  • Tuple Methods: Tuples have fewer methods compared to lists due to their immutability.

3. Sets:

A set is an unordered collection of unique elements in Python. Sets are useful when you want to store a collection of items without any specific order and ensure uniqueness.

  • Creating a Set: To create a set, enclose the elements within curly braces ({}).
  • Set Operations: Sets support various operations like union, intersection, difference, etc., making them efficient for mathematical computations.
  • Set Methods: Python provides several built-in methods like add(), remove(), intersection(), etc., to manipulate sets.

4. Dictionaries:

A dictionary is an unordered collection of key-value pairs. Each element in a dictionary is accessed using its associated key rather than index numbers.

  • Creating a Dictionary: To create a dictionary, enclose the key-value pairs within curly braces ({}) separated by colons (:).
  • Accessing Values: Elements in a dictionary can be accessed using their respective keys.
  • Dictionary Methods: Python provides various built-in methods like keys(), values(), items(), etc., to manipulate dictionaries efficiently.

In conclusion, Python offers a rich set of data structures that cater to different needs. Understanding these data structures and their characteristics is crucial for writing efficient and organized code. Whether you need to store multiple values, maintain immutability, ensure uniqueness, or work with key-value pairs, Python has got you covered!

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