When you start to research IT and CS and you find out everything you want to do is based on Data Structure and Algorithm so what is Data Structure? Data Structure is a way of organizing data in a computer so that it can be used. A computer program performs various tasks like storing data, retrieving data, and perform some operations on data. So for these reasons, the data structure can be used to store and organize data.
An Algorithm is a collection of steps to solve a problem. Data Structure and Algorithm are used because it allows us to write efficient and optimized computer programs.
Most common Data Structures
These are the most common Data Structure that every Programmer must learn.
- Array –
An array is used to store data and it has a fixed size. - Linked List –
A Linked List is a sequential structure in which every item is linked to each other. - Stack –
Consider a case buffet where plates are kept one above the other this is called a stack this Data Structure is based on a real-world problem. - Queue –
Consider yourself standing in a line this is an example of a Queue Data Structure based on a real-world problem. - Hash Tables –
A Hash table is a data structure that stores values that have keys associated with each of them. - Tree –
A tree is a hierarchical structure where data is organized hierarchically and linked together. - Heaps –
A heap is a special case of the binary tree where the parent node is compared to its children with their values and arranged accordingly. - Graphs –
A graph contains a finite set of vertices or nodes and a set of edges connecting these vertices.
Data Structure is required everywhere. It is even more important from an interview point of view the first preference will be given to a person knowing Data Structure. You can play with data and can understand real-world problems and can find a solution to them.
Importance of Data Structures
Data structures are a fundamental concept in computer science and play a crucial role in many aspects of software development. Here are some of the reasons why data structures are important:
- Efficient storage and retrieval of data –
Data structures allow you to store and retrieve data in an efficient manner. For example, using a hash table data structure, you can access an element in constant time, whereas searching for an element in an unordered list would take linear time. - Improved performance –
Data structures can help improve the performance of your code by reducing the time and space complexity of algorithms. For example, using a binary search tree instead of a linear search can significantly reduce the time it takes to find a specific element in a large dataset. - Better problem solving –
Data structures can help you solve complex problems by breaking them down into smaller, more manageable parts. For example, using a graph data structure can help you solve problems related to network flow or finding the shortest path between two points. - Abstraction –
Data structures provide a way to abstract the underlying complexity of a problem and simplify it, making it easier to understand and solve. - Reusability –
Data structures can be used in many different algorithms and applications, making them a useful tool in your programming toolbox.
In short, data structures are important because they provide a way to organize and manage data in a way that is efficient, flexible, and scalable. Whether you are working on a large-scale software project or a simple program, a solid understanding of data structures is essential for success.
Read related article – Characteristics or features of an Algorithm
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