Tutorial Playlist

Data Structure Tutorial


Arrays in Data Structures: A Guide With Examples

Lesson - 1

All You Need to Know About Two-Dimensional Arrays

Lesson - 2

All You Need to Know About a Linked List in a Data Structure

Lesson - 3

The Complete Guide to Implement a Singly Linked List

Lesson - 4

The Ultimate Guide to Implement a Doubly Linked List

Lesson - 5

The Fundamentals for Understanding Circular Linked List

Lesson - 6

The Ultimate Guide To Understand The Differences Between Stack And Queue

Lesson - 7

Implementing Stacks in Data Structures

Lesson - 8

Your One-Stop Solution for Stack Implementation Using Array

Lesson - 9

Your One-Stop Solution for Queue Implementation Using Array

Lesson - 10

Your One-Stop Solution to Learn Depth-First Search(DFS) Algorithm From Scratch

Lesson - 11

Your One-Stop Solution for Stack Implementation Using Linked-List

Lesson - 12

The Definitive Guide to Understand Stack vs Heap Memory Allocation

Lesson - 13

All You Need to Know About Linear Search Algorithm

Lesson - 14

All You Need to Know About Breadth-First Search Algorithm

Lesson - 15

A One-Stop Solution for Using Binary Search Trees in Data Structure

Lesson - 16

The Best Tutorial to Understand Trees in Data Structure

Lesson - 17

A Complete Guide to Implement Binary Tree in Data Structure

Lesson - 18

A Holistic Look at Using AVL Trees in Data Structures

Lesson - 19

All You Need to Know About Tree Traversal in Data Structure

Lesson - 20

The Best Guide You’ll Ever Need to Understand B-Tree in Data Structure

Lesson - 21

The Best Guide You'll Ever Need to Understand Spanning Tree in Data Structure

Lesson - 22

The Best and Easiest Way to Understand an Algorithm

Lesson - 23

Your One-Stop Solution to Understand Shell Sort Algorithm

Lesson - 24

Your One-Stop Solution to Quick Sort Algorithm

Lesson - 25

The Most Useful Guide to Learn Selection Sort Algorithm

Lesson - 26

Everything You Need to Know About Radix Sort Algorithm

Lesson - 27

Everything You Need to Know About the Counting Sort Algorithm

Lesson - 28

Everything You Need to Know About the Merge Sort Algorithm

Lesson - 29

Insertion Sort Algorithm: One-Stop Solution That Will Help You Understand Insertion Sort

Lesson - 30

Everything You Need to Know About the Bubble Sort Algorithm

Lesson - 31

The Best Guide You’ll Ever Need to Understand Bucket Sort Algorithm

Lesson - 32

Your One-Stop Solution to Understand Recursive Algorithm in Programming

Lesson - 33

The Definitive Guide to Understanding Greedy Algorithm

Lesson - 34

Your One-Stop Solution to Understand Backtracking Algorithm

Lesson - 35

The Fundamentals of the Bellman-Ford Algorithm

Lesson - 36

Your One-Stop Solution for Graphs in Data Structures

Lesson - 37

The Best Guide to Understand and Implement Solutions for Tower of Hanoi Puzzle

Lesson - 38

A Simplified and Complete Guide to Learn Space and Time Complexity

Lesson - 39

All You Need to Know About the Knapsack Problem : Your Complete Guide

Lesson - 40

The Fibonacci Series: Mathematical and Programming Interpretation

Lesson - 41

The Holistic Look at Longest Common Subsequence Problem

Lesson - 42

The Best Article to Understand What Is Dynamic Programming

Lesson - 43

A Guide to Implement Longest Increasing Subsequence Using Dynamic Programming

Lesson - 44

A Holistic Guide to Learn Stop Solution Using Dynamic Programming

Lesson - 45

One Stop Solution to All the Dynamic Programming Problems

Lesson - 46

Understanding the Fundamentals of Binomial Distribution

Lesson - 47

Here’s All You Need to Know About Minimum Spanning Tree in Data Structures

Lesson - 48

Understanding the Difference Between Array and Linked List

Lesson - 49

The Best Article Out There to Understand the B+ Tree in Data Structure

Lesson - 50

A Comprehensive Look at Queue in Data Structure

Lesson - 51

Your One-Stop Solution to Understand Coin Change Problem

Lesson - 52

The Best Way to Understand the Matrix Chain Multiplication Problem

Lesson - 53

Your One-Stop Solution to Learn Floyd-Warshall Algorithm for Using Dynamic Programming

Lesson - 54
All You Need to Know About Two-Dimensional Arrays

Two-dimensional arrays or multi-dimensional arrays are arrays where the data element's position is referred to, by two indices. The name specifies two dimensions, that is, row and column.

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What Are Two-Dimensional Arrays?

Two-dimensional arrays can be defined as arrays within an array. 2D arrays erected as metrics, which is a collection of rows and columns. It is common to design 2D arrays to accomplish a database that is similar to the data structure.


The Need For Two-Dimensional Arrays

Using 2d arrays, you can store so much data at one moment, which can be passed at any number of functions whenever required.

Picture this, a class consists of 5 students, and the class has to publish the result of all those students.

You need a table to store all those five students' names, subjects' names, and marks.

For that, it requires storing all information in a tabular form comprising rows and columns.

A row contains the name of subjects, and columns contain the name of the students.

That class consists of four subjects, namely English, Science, Mathematics, and Hindi, and the names of the students are first, second, third, fourth, and fifth.


Declaration of Two-Dimensional Arrays

The syntax of two-dimensional arrays is:

Data_type name_of the array[rows][index];

Here is one example:

  int multi_dim[2][3];


In the above example, the name of the 2d array is multi_dim  consisting of 2 rows and three columns of integer data types.

Initialization of Two-Dimensional Arrays

There are two methods to initialize two-dimensional arrays.

Method 1

int multi_dim[4][3]={10,20,30,40,50,60,20,80,90,100,110,120};

Method 2

int multi_dim[4][3]={{10,20,30},{40.50,60},{70,80,90},{100,110,120}};

Here are two methods of initialization of an element during declaration. Here, the second method is preferred because the second method is more readable and understandable so that you can clearly visualize that multi_dim 2D arrays comprise four rows and three columns.

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Accessing Two-Dimensional Arrays

Accessing two-dimensional arrays can be done using row index value and column index value.

Name_of_the arrays[row_index][column_index];

int multi_dim[4][3]={{10,20,30},{40,50,60},{70,80,90},{100,110,120}};

Suppose, in this example, you want to access element 80.



Note: indexing always starts with zero.

Printing the Elements in a Two-Dimensional Array

Printing elements of a two-dimensional array can be done using two for loops.


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Next Steps

Next, you will need to learn about more types of data structure like a linked list, stack, queue, tree, and graph, and many more.

If you are perhaps looking to learn further about data structures and gain a comprehensive understanding of data engineering, Simplilearn’s Post-Graduate Program in Data Engineering will be a great fit for you. Delivered by Simplilearn in partnership with Purdue University & in collaboration with IBM, this world-class bootcamp offers you the right skills and applied training you need to become a job-ready data engineering expert today. Take a look, this can prove to be the game changer for your career.

If you have any questions about this topic, please feel free to leave them in the comments below. Our team of experts will answer all your queries for you at the earliest!

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