What Is Data Structure and Its Types by GeeksForGeeks?

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Larry Thompson

Data structures are an integral part of computer science and play a crucial role in organizing and managing data efficiently. In this article, we will explore what data structures are and take a closer look at their various types.

What Is a Data Structure?

A data structure is a way of organizing and storing data in a computer’s memory. It provides an organized format for storing, retrieving, and manipulating data effectively. Different data structures are designed to handle different types of data and operations efficiently.

Types of Data Structures

Data structures can be broadly classified into two categories: primitive and non-primitive.

1. Primitive Data Structures

Primitive data structures are the basic building blocks provided by programming languages. They include:

  • Integer: Stores whole numbers without decimal points.
  • Float: Stores numbers with decimal points.
  • Character: Stores individual characters.
  • Boolean: Stores true or false values.

2. Non-Primitive Data Structures

Non-primitive data structures, also known as complex data structures, are derived from primitive data types. They include:

  • Arrays: A collection of elements stored in contiguous memory locations.
  • Linked Lists: A sequence of nodes where each node contains both the data and a reference to the next node.
  • Trees: A hierarchical structure with nodes connected by edges, commonly used for hierarchical data representation.
  • Graphs: A collection of nodes (vertices) and edges that connect these nodes, used to represent relationships between objects.
  • Hash Tables: A data structure that stores data in an associative manner, allowing efficient retrieval based on key-value pairs.
  • Stacks: A linear data structure that follows the Last In First Out (LIFO) principle.
  • Queues: A linear data structure that follows the First In First Out (FIFO) principle.

Data structures are essential for solving complex problems efficiently. As a programmer, understanding different types of data structures and their properties can help you choose the most appropriate one for your specific needs. It’s crucial to analyze the time and space complexity of different operations performed on a data structure to ensure optimal performance in your programs.

In Conclusion

Data structures are the building blocks of efficient algorithms and play a vital role in computer science. They provide a systematic way of organizing and manipulating data, enabling faster access and retrieval. By understanding different types of data structures, you can make informed decisions when implementing algorithms or solving programming problems.

Now that you have a better understanding of what data structures are and their various types, you can dive deeper into each individual structure to explore their unique properties, operations, and use cases.

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