Data structure Tutorials

data-structure

In computer science, a data structure is a way of organizing and storing data in a computer program so that it can be accessed and used efficiently. It defines the relationship between the data, the operations that can be performed on the data, and the algorithms that are used to implement those operations.

In programming, understanding data structures is crucial for efficient and effective programming. It allows developers to manipulate and process large amounts of data efficiently, which is important for many applications in fields such as data analysis, machine learning, and web development.

There are various types of data structures, such as arrays, linked lists, stacks, queues, trees, and graphs, each with its own advantages and disadvantages depending on the use case.

In learning about data structures, one will learn about the different types of data structures and their properties, how to implement and use them, and how to choose the appropriate data structure for a given problem.

The importance of data structures in programming lies in their ability to optimize the performance of programs by reducing the time and space complexity of algorithms. By choosing the right data structure for a specific problem, developers can ensure that their code runs efficiently and effectively, even for large datasets. Additionally, a good understanding of data structures can make it easier to write and maintain code, as well as debug it when issues arise.

By the end of the data structure learning journey, you will have a solid understanding of the various types of data structures and their properties, as well as the algorithms used to manipulate them.

Throughout your learning journey, you will also learn how to analyze the time and space complexity of algorithms that use these data structures, as well as how to choose the appropriate data structure for a given problem. Additionally, you will gain hands-on experience implementing data structures and algorithms in various programming languages, which will give you the skills needed to build efficient and effective software applications.

Specifically, you will learn about:

Data structure – Overview

What is mean by data structure ? Lets have brief introduction about data structure, Lets us takes an example ,in our room we have different Read More »

Data Structure – Algorithms

What is An Algorithm? An algorithm is a sequence of unambiguous instructions which can be used to solve the problem . In addition every algorithm Read More »

Data Structure – Overview of Recursion

Overview of Recursion: A function must be able to call itself. For example, let us consider the function factr() shown below, which computers the factorial Read More »

Data Structure – Differences between recursion and iteration

Differences between recursion and iteration: Both involve repetition. Both involve a termination test. Both can occur infinitely.

Data Structure – Algorithm Asymptotic Analysis

in The Previous Post We have Learned What is algorithm? In Computer Science we have some problem which we have to solve, but before writing Read More »

Data Structure – Basic Concepts of Complexity Classes – P-NP-NP-HARD-NP-Complete

In This section lets understand the Basic concept of NP Hard & NP Complete Algorithm NP-Hard and NP-Complete Problems An algorithm A is of polynomial Read More »

Data Structure – Linked Lists

In this Post, the list data structure is presented. This structure can be used as the basis for the implementation of other data structures (stacks, Read More »

Data Structure – Linked List Concepts

Linked List Concepts A linked list is a non-sequential collection of data items. It is a dynamic data structure. For every data item in a Read More »

Data Structure – Single Linked List In Brief

Single Linked List In Brief: A linked list allocates space for each element separately in its own block of memory called a “node”. The list Read More »

Data Structure – Array based linked lists

Another alternative is to allocate the nodes in blocks. In fact, if you know the maximum size of a list a head of time, you Read More »

Data Structure – Double Linked List

A double linked list is a two-way list in which all nodes will have two links. This helps in accessing both successor node and predecessor Read More »

Data Structure – Circular Single Linked List

Concept: It is just a single linked list in which the link field of the last node points back to the address of the first Read More »

Data Structure – Circular Double Linked List Concept in brief

Concept: A circular double linked list has both successor pointer and predecessor pointer in circular manner. The objective behind considering circular double linked list is Read More »

Data Structure – Comparison of Linked List Variations

The major disadvantage of doubly linked lists (over singly linked lists) is that they require more space (every node has two pointer fields instead of Read More »

Data Structure – Stack Overview

Data structure Stack:There are certain situations in computer science that one wants to restrict insertions and deletions so that they can take place only at Read More »

Data Structure – Algebraic Expressions InFix PostFix Prefix Expressions

An algebraic expression is a legal combination of operators and operands. Operand is the quantity on which a mathematical operation is performed. Operand may be Read More »

Data Structure – Queue Overview

A queue is another special kind of list, where items are inserted at one end called the rear and deleted at the other end called Read More »

Data Structure – Circular Queue

A more efficient queue representation is obtained by regarding the array Q[MAX] as circular. Any number of items could be placed on the queue. This Read More »

Data Structure – Deque Overview

In the preceding section we saw that a queue in which we insert items at one end and from which we remove items at the Read More »

Data Structure – Priority Queue

A priority queue is a collection of elements such that each element has been assigned a priority and such that the order in which elements Read More »

Data Structure – Binary Trees

A data structure is said to be linear if its elements form a sequence or a linear list. Previous linear data structures that we have Read More »

Data Structure – Binary Tree Traversal Techniques : Inorder-Preorder-Postorder-Levelorder

Binary Tree Traversal Techniques: A tree traversal is a method of visiting every node in the tree. By visit, we mean that some type of Read More »

Data Structure – Threaded Binary Tree

The linked representation of any binary tree has more null links than actual pointers. If there are 2n total links, there are n+1 null links. Read More »

Concept Binary Search Tree

A binary search tree is a binary tree. It may be empty. If it is not empty then it satisfies the following properties: Every element Read More »

Data Structure – General Trees (m-ary tree)

If in a tree, the outdegree of every node is less than or equal to m, the tree is called general tree. The general tree Read More »

Data Structure – Converting a m-ary tree (general tree) to a binary tree

There is a one-to-one mapping between general ordered trees and binary trees. So, every tree can be uniquely represented by a binary tree. Furthermore, a Read More »

Data Structure – Search and Traversal Techniques for m-ary trees

Search involves visiting nodes in a tree in a systematic manner, and may or may not result into a visit to all nodes. When the Read More »

Data Structure – Graphs

Graph G is a pair (V, E), where V is a finite set of vertices and E is a finite set of edges. We will Read More »

Data Structure – Minimum Spanning Tree (MST)

A spanning tree for a connected graph is a tree whose vertex set is the same as the vertex set of the given graph, and Read More »

Data Structure – Traversing a Graph BFT DFT

Many graph algorithms require one to systematically examine the nodes and edges of a graph G. There are two standard ways to do this. They Read More »

Data Structure – Concept of Searching and Sorting

There are basically two aspects of computer programming. One is data organization also commonly called as data structures. Till now we have seen about data Read More »

Data Structure – Concept of Linear Search

This is the simplest of all searching techniques. In this technique, an ordered or unordered list will be searched one by one from the beginning Read More »

Data Structure – Concept of Binary Search

If we have ‘n’ records which have been ordered by keys so that x1 < x2 < … < xn . When we are given Read More »

Data Structure – Concept of Bubble Sort

The bubble sort is easy to understand and program. The basic idea of bubble sort is to pass through the file sequentially several times. In Read More »

Data Structure – Concept of Selection Sort

Selection sort will not require no more than n-1 interchanges. Suppose x is an array of size n stored in memory. The selection sort algorithm Read More »

Data Structure – Quick Sort

The quick sort was invented by Prof. C. A. R. Hoare in the early 1960’s. It was one of the first most efficient sorting algorithms. Read More »

Data Structure – Priority Queue, Heap and Heap Sort

Heap is a data structure, which permits one to insert elements into a set and also to find the largest element efficiently. A data structure, Read More »

Data Structure – Algorithm Design Greedy Approach

Here on design and analysis of algorithms today’s it is going to be an overview of the course and i want to introduce you to the main Read More »

Data Structure – Dijkstra’s shortest-path algorithm

Dijkstra’s algorithm finds the shortest paths from a given node to all other nodes in a graph Initially, Mark the given node as known (path Read More »

Data Structure – Algorithm Dynamic Programming

The Dynamic Programming (DP) is the most powerful design technique for solving optimization problems. It was invented by mathematician named Richard Bellman inn 1950s. The DP Read More »

Data Structure – Design and analysis of Divide and Conquer Algorithms

DIVIDE AND CONQUER ALGORITHM In this approach ,we solve a problem recursively by applying 3 steps DIVIDE-break the problem into several sub problems of smaller Read More »

Data Structure – Kruskal’s Algorithm

This is a greedy algorithm. A greedy algorithm chooses some local optimum (i.e. picking an edge with the least weight in a MST). Kruskal’s algorithm Read More »

Data Structure – Prim’s Algorithm-minimal cost spanning tree

A given graph can have many spanning trees. From these many spanning trees, we have to select a cheapest one. This tree is called as Read More »

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