Top 100 Data Structures and Algorithms (DSA)
PrepInsta Data Structures & Algorithms
PrepInsta Data Structures & Algorithms
Top 100 Data Structures and Algorithms – Data Structures and Algorithms (DSA) form the foundation of efficient programming. A data structure is a way of organizing and storing data so it can be accessed and modified easily. An algorithm is a set of step-by-step instructions used to solve a specific problem or perform a task.
Below you will find all the important Data Structures code that are important for you to learn DSA Preparation for Placements and College examinations and cover DSA Syllabus for placement.
Important points to remember about Data Structure and Algorithms comprises –
- Data Structures and Algorithms help solve problems efficiently by optimizing time and space complexity.
- They are a key focus in coding interviews, especially for top tech and Fortune 500 companies.
What are Data Structures ?
Data Structures are special ways of organizing and storing data in a computer so that we can use it easily and efficiently.
- Think of them like containers or shelves where you keep your things in a neat order – like a list, a stack of plates, or a queue at a ticket counter.
- Different types of data structures help solve different kinds of problems better.
What are Algorithms ?
Algorithms are step-by-step instructions or a set of rules to solve a problem or complete a task.
- It’s like a cooking recipe that tells you exactly what to do, one step after another, to make a dish.
- In computer science, algorithms help computers perform tasks like searching, sorting, or finding the best solution to a problem.
Here are some common examples of algorithms in Data Structures and Algorithms (DSA):
- Sorting Algorithms – Bubble Sort, Merge Sort, Quick Sort, Insertion Sort
- Searching Algorithms – Binary Search, Linear Search
- Graph Algorithms – Dijkstra’s Algorithm, BFS (Breadth-First Search), DFS (Depth-First Search), Kruskal’s and Prim’s Algorithm
- Dynamic Programming – Fibonacci Sequence, Knapsack Problem, Longest Common Subsequence
- Greedy Algorithms – Activity Selection, Huffman Coding, Fractional Knapsack
What are Data Structures ?
Data Structures are special ways of organizing and storing data in a computer so that we can use it easily and efficiently.
- Think of them like containers or shelves where you keep your things in a neat order – like a list, a stack of plates, or a queue at a ticket counter.
- Different types of data structures help solve different kinds of problems better.
What are Algorithms ?
Algorithms are step-by-step instructions or a set of rules to solve a problem or complete a task.
- It’s like a cooking recipe that tells you exactly what to do, one step after another, to make a dish.
- In computer science, algorithms help computers perform tasks like searching, sorting, or finding the best solution to a problem.
Searching
Searching algorithms are easy to learn but are really important for college semester exams and companies offering package between 3 – 6 LPA would ask direct searching questions in online test/ interviews.
- Linear Search –
- Binary Search –
- Most important –
- Searching Meme – Searching Meme Review
Searching
Searching algorithms are easy to learn but are really important for college semester exams and companies offering package between 3 – 6 LPA would ask direct searching questions in online test/ interviews.
- Linear Search –
- Binary Search –
- Most important –
- Searching Meme – Searching Meme Review
Sorting
Sorting algorithms are easy to learn but are really important for college semester exams and companies offering package between 3 – 6 LPA would ask direct searching questions in online test/ interviews.
Sorting
Sorting algorithms are easy to learn but are really important for college semester exams and companies offering package between 3 – 6 LPA would ask direct searching questions in online test/ interviews.
Linked Lists
Linked List is one of the most crucial topics which is easy once understood thoroughly. This topic is very important for both your college semester examinations as well as for placement purposes.
Singly Linked List
- Introduction to Linked List in Data Structure
- Linked List in – C | C++ | Java
- Singly Linked List in – C | C++ | Java
- Insertion in singly Linked List – C | C++ | Java
- Deletion in singly Linked List – C | C++ | Java
- Reverse a linked list without changing links between nodes (Data reverse only) – C | C++ | Java
- Linked List Insertion and Deletion – C | C++ | Java
- Reverse a linked list by changing links between nodes – C | C++ | Java
- Linked List insertion in the middle – C | C++ | Java
- Print reverse of a linked list without actually reversing – C |C++ | Java
- Search an element in a linked list – C | C++ | Java
- Insertion in a Sorted Linked List – C | C++ | Java
- Delete alternate nodes of a Linked List – C | C++ | Java
- Find middle of the linked list – C | C++ | Java
- Reverse a linked list in groups of given size – C | C++ | Java
- Find kth node from end of the linked list – C | C++ | Java
- Append the last n nodes of a linked list to the beginning of the list – C | C++ | Java
- Check whether linked list is palindrome or not – C | C++ | Java
- Fold a Linked List – C | C++ | Java
- Insert at a given position – C | C++ | Java
- Delete at a given position – C | C++ | Java
Doubly Linked List
- Introduction to Doubly Linked list in Data Structure
- Doubly Linked List in – C | C++ | Java
- Insertion in doubly linked list – C | C++ | Java
- Deletion in doubly linked list – C | C++ | Java
- Insertion and Deletion in doubly linked list – C | C++ | Java
- Insertion in the middle in a doubly linked list – C | C++ | Java
Circular Linked List
- Introduction to Circular Linked List
- Circular Linked List Applications
- Circular Linked List in – C | C++ | Java
- Insertion in Circular Linked List – C | C++ | Java
- Deletion in Circular Linked List – C | C++ | Java
- Insertion and Deletion in a Circular Linked List – C | C++ | Java
- Split a Circular Linked List in two halves – C | C++ | Java
- Count nodes in Circular Linked List – C | C++ | Java
- Sorted Insert In Circular Linked List – C | C++ | Java
- Insertion in the middle in Circular Linked List – C | C++ | Java
Linked Lists
Linked List is one of the most crucial topics which is easy once understood thoroughly. This topic is very important for both your college semester examinations as well as for placement purposes.
Singly Linked List
- Introduction to Linked List in Data Structure
- Linked List in –
C
C++
Java - Singly Linked List in –
C
C++
Java - Insertion in singly Linked List –
C
C++
Java - Deletion in singly Linked List –
C
C++
Java - Reverse a linked list without changing links between nodes (Data reverse only) –
C
C++
Java - Linked List Insertion and Deletion –
C
C++
Java - Reverse a linked list by changing links between nodes –
C
C++
Java - Linked List insertion in the middle –
C
C++
Java - Print reverse of a linked list without actually reversing –
C
C++
Java - Search an element in a linked list –
C
C++
Java - Insertion in a Sorted Linked List –
C
C++
Java - Delete alternate nodes of a Linked List –
C
C++
Java - Find middle of the linked list –
C
C++
Java - Reverse a linked list in groups of given size –
C
C++
Java - Find kth node from end of the linked list –
C
C++
Java - Append the last n nodes of a linked list to the beginning of the list –
C
C++
Java - Check whether linked list is palindrome or not –
C
C++
Java - Fold a Linked List –
C
C++
Java - Insert at a given position –
C
C++
Java - Delete at a given position –
C
C++
Java
Doubly Linked List
Circular Linked List
- Introduction to Circular Linked List
- Circular Linked List Applications
- Circular Linked List in –
C
C++
Java - Insertion in Circular Linked List –
C
C++
Java - Deletion in Circular Linked List –
C
C++
Java - Insertion and Deletion in a Circular Linked List –
C
C++
Java - Split a Circular Linked List in two halves –
C
C++
Java - Count nodes in Circular Linked List –
C
C++
Java - Sorted Insert In Circular Linked List –
C
C++
Java - Insertion in the middle in Circular Linked List –
C
C++
Java
Stacks and Queues
Stack is a topic that consists of easy to grasp concepts which help you score better in the college semester examinations as well as online tests/ interviews conducted by various companies.
Stacks
- Introduction to Stack in Data Structure
- Operations on a Stack
- Stack: Infix, Prefix and Postfix conversions
- Stack Representation in – C | C++ | Java
- Representation of a Stack as an Array. – C | C++ | Java
- Representation of a Stack as a Linked List. – C | C++ | Java
- Infix to Postfix Conversion – C | C++ | Java
- Infix to prefix conversion in – C | C++ | Java
- Postfix to Prefix Conversion in – C | C++ | Java
Queues
- Queues in Data Structures (Introduction)
- Queues Program in C and implementation
- Implementation of Queues using Arrays | C Program
- Types of Queues in Data Structure
- Application of Queue Data Structure
- Insertion in Queues Program (Enqueuing) – C | C++ | Java
- Deletion (Removal) in Queues Program(Dequeuing) – C | C++ | Java
- Reverse a Queue – C | C++ | Java
- Queues using Linked Lists – C | C++ | Java
- Implement Queue using Stack – C | C++ | Java
- Implement Queue using two Stacks – C | C++ | Java
Circular Queues
- Circular queue in Data Structure
- Applications of Circular Queues
- Circular queue in – C | C++ | Java
- Circular queue using Array – C | C++ | Java
- Circular Queue using Linked Lists – C | C++ | Java
Priority Queue
Stacks and Queues
Stack is a topic that consists of easy to grasp concepts which help you score better in the college semester examinations as well as online tests/ interviews conducted by various companies.
Stacks
- Introduction to Stack in Data Structure
- Operations on a Stack
- Stack: Infix, Prefix and Postfix conversions
- Stack Representation in –
C
C++
Java - Representation of a Stack as an Array. –
C
C++
Java - Representation of a Stack as a Linked List. –
C
C++
Java - Infix to Postfix Conversion –
C
C++
Java - Infix to prefix conversion in –
C
C++
Java - Postfix to Prefix Conversion in –
C
C++
Java
Queues
- Queues in Data Structures (Introduction)
- Queues Program in C and implementation
- Implementation of Queues using Arrays | C Program
- Types of Queues in Data Structure
- Application of Queue Data Structure
- Insertion in Queues Program (Enqueuing) –
C
C++
Java - Deletion (Removal) in Queues Program(Dequeuing) –
C
C++
Java - Reverse a Queue –
C
C++
Java - Queues using Linked Lists –
C
C++
Java - Implement Queue using Stack –
C
C++
Java - Implement Queue using two Stacks –
C
C++
Java
Circular Queues
- Circular queue in Data Structure
- Applications of Circular Queues
- Circular queue in –
C
C++
Java - Circular queue using Array –
C
C++
Java - Circular Queue using Linked Lists –
C
C++
Java
Priority Queue
Trees
Trees are one of the most crucial topics in Data Structure which are a little complicated than the other topics in C. Questions from this topic are often asked in college semester examinations as well as Company interviews and online tests which are of a good difficulty level and have more weight age than other questions.
Introduction to Trees
Binary Trees
- Binary Tree in Data Structures (Introduction)
- Tree Traversals: Inorder Postorder Preorder : C | C++ | Java
- Inorder Postorder PreOrder Traversals Examples
- Tree Traversal without Recursion
Binary Search Trees
Traversals
- Traversal in Trees
- Tree Traversals: Breadth-First Search (BFS) : C | C++ | Java
- Tree Traversals: Depth First Search (DFS) : C | C++ | Java
- Construct a Binary Tree from Postorder and Inorder
B – Trees
AVL Trees
- AVL Trees
Complete Programs for Trees
- Depth First Traversals – C | C++ | Java
- Level Order Traversal – C | C++ | Java
- Construct Tree from given Inorder and Preorder traversals – C | C++ | Java
- Construct Tree from given Postorder and Inorder traversals – C | C++ | Java
- Construct Tree from given Postorder and Preorder traversal – C | C++ | Java
- Find size of the Binary tree – C | C++ | Java
- Find the height of binary tree – C | C++ | Java
- Find maximum in binary tree – C | C++ | Java
- Check whether two tree are identical- C| C++| Java
- Spiral Order traversal of Tree- C | C++| Java
- Level Order Traversal LIne by Line – C | C++| Java
- Hand shaking lemma and some Impotant Tree Properties.
- Check If binary tree if Foldable or not.- C| C++| Java
- check whether tree is Symmetric C| C++| Java.
- Check for Children-Sum in Binary Tree- C|C++| Java
- Sum of all nodes in Binary Tree- C | C++ | Java
- Lowest Common Ancestor in Binary Tree. C | C++ | Java
Trees
Trees are one of the most crucial topics in Data Structure which are a little complicated than the other topics in C. Questions from this topic are often asked in college semester examinations as well as Company interviews and online tests which are of a good difficulty level and have more weight age than other questions.
Introduction to Trees
Binary Trees
- Binary Tree in Data Structures (Introduction)
- Tree Traversals: Inorder Postorder Preorder :
C
C++
Java - Inorder Postorder PreOrder Traversals Examples
- Tree Traversal without Recursion
Binary Search Trees
Traversals
- Traversal in Trees
- Tree Traversals: Breadth-First Search (BFS) :
C
C++
Java - Tree Traversals: Depth First Search (DFS) :
C
C++
Java - Construct a Binary Tree from Postorder and Inorder
B – Trees
AVL Trees
- AVL Trees
Complete Programs for Trees
- Depth First Traversals –
C
C++
Java - Level Order Traversal –
C
C++
Java - Construct Tree from given Inorder and Preorder traversals –
C
C++
Java - Construct Tree from given Postorder and Inorder traversals –
C
C++
Java - Construct Tree from given Postorder and Preorder traversal –
C
C++
Java - Find size of the Binary tree –
C
C++
Java - Find the height of binary tree –
C
C++
Java - Find maximum in binary tree –
C
C++
Java - Check whether two tree are identical-
C
C++
Java - Spiral Order traversal of Tree-
C
C++
Java - Level Order Traversal Line by Line –
C
C++
Java - Hand shaking lemma and some Important Tree Properties.
- Check If binary tree if Foldable or not.-
C
C++
Java - check whether tree is Symmetric
C
C++
Java. - Check for Children-Sum in Binary Tree-
C
C++
Java - Sum of all nodes in Binary Tree-
C
C++
Java - Lowest Common Ancestor in Binary Tree –
C
C++
Java
Arrays
Arrays are one of the most frequently asked topics in both the college semester examinations and companies offering packages between 3.5 – 6 LPA often ask direct questions from this topic in the various online test/ interviews.
- Introduction to Arrays – C | C++ | Java
- Introduction to 2-D Arrays – C | C++ | Java
- Sorting of Array – C | C++ | Java
- Array Rotation – C | C++ | Java
- Reverse an array or string- C | C++ | Java
- Find pairs in array with given sum – C | C++ | Java
- Sort the array in Waveform – C | C++ | Java
- Majority Element in Array – C | C++ | Java
- Boyer-Moore’s Voting Algorithm – C | C++ | Java
- K-pairs with smallest sum in 2 arrays – C | C++ | Java
- Largest Sum Contigous SubArray – C | C++ | Java
- Maximum Average Sub-array of K length – C | C++ | Java
- Size of sub-array with max sum – C | C++ | Java
- Sub-array with given sum – C | C++ | Java
- Triplet that sum to a given value – C | C++ | Java
- Segregate 0’s and 1’s in array – C | C++ | Java
- Segregate 0’s 1’s and 2’s in array – C | C++ | Java
- Sort elements in array by frequency – C | C++ | Java
- Finding pythagorean triplets in an array – C | C++ | Java
- Reorder array using given indexes – C | C++ | Java
- Merging two sorted arrays – C | C++ | Java
- Minimum number of Merge Operations to make an Array Palindrome – C | C++ | Java
- Find Zeros to be Flipped so that number of Consecutive 1’s is maximized – C | C++ | Java
Arrays
Arrays are one of the most frequently asked topics in both the college semester examinations and companies offering packages between 3.5 – 6 LPA often ask direct questions from this topic in the various online test/ interviews.
- Introduction to Arrays –
C
C++
Java - Introduction to 2-D Arrays –
C
C++
Java - Sorting of Array –
C
C++
Java - Array Rotation –
C
C++
Java - Reverse an array or string-
C
C++
Java - Find pairs in array with given sum –
C
C++
Java - Sort the array in Waveform –
C
C++
Java - Majority Element in Array –
C
C++
Java - Boyer-Moore’s Voting Algorithm –
C
C++
Java - K-pairs with smallest sum in 2 arrays –
C
C++
Java - Largest Sum Contiguous Sub Array –
C
C++
Java - Maximum Average Sub-array of K length –
C
C++
Java - Size of sub-array with max sum –
C
C++
Java - Sub-array with given sum –
C
C++
Java - Triplet that sum to a given value –
C
C++
Java - Segregate 0’s and 1’s in array –
C
C++
Java - Segregate 0’s 1’s and 2’s in array –
C
C++
Java - Sort elements in array by frequency –
C
C++
Java - Finding Pythagorean triplets in an array –
C
C++
Java - Reorder array using given indexes –
C
C++
Java - Merging two sorted arrays –
C
C++
Java - Minimum number of Merge Operations to make an Array Palindrome –
C
C++
Java - Find Zeros to be Flipped so that number of Consecutive 1’s is maximized –
C
C++
Java
Tower of Hanoi
Stack is a topic that consists of easy to grasp concepts which help you score better in the college semester examinations as well as online tests/ interviews conducted by various companies.
TOWER of HANOI: Representation, Working and Example.
DSA Assignments
DSA Assignments
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not able to see lecture
Hey Harshitha! Please reach out to us at 8448440710.
please add prepinsta pages of theory of graphs hashing heap backtracing dynamic programming.
pls do data structure and algorithms topics in python for free
Why there is no python?
implementation in python does not boost logics as c c++ or java but rather you can practice in any lang if you know the working of the algorithm