Introduction
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A course on mastering data structures and algorithms using C and C++ is a technical course designed to teach individuals how to effectively implement and analyze various data structures and algorithms using the C and C++ programming languages. The course covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms (e.g. bubble sort, insertion sort, merge sort), and search algorithms (e.g. linear search, binary search). It also may cover advanced topics such as dynamic programming, greedy algorithms and complexity analysis. The course includes hands-on exercises and projects to help learners solidify their understanding of the concepts and apply them in real-world situations. The course may be suitable for computer science students, software developers, or anyone interested in improving their skills in data structures and algorithms. Mastering Data Structures & Algorithms using C and C++ is a course that aims to provide a comprehensive understanding of various data structures and algorithms using the C and C++ programming languages. The course is designed for students and professionals who want to improve their coding skills and efficiency in solving complex problems. The course covers topics such as arrays, linked lists, stacks, queues, trees, graphs, and various sorting and searching algorithms. The course explains how to implement these data structures and algorithms using C and C++ and also covers their time and space complexities. The course also includes hands-on practice exercises and projects to help learners solidify their understanding of the concepts and apply them in real-world situations. Additionally, the course may cover advanced topics such as dynamic programming, greedy algorithms, and complexity analysis. By the end of the course, students should be able to develop efficient solutions to complex problems, analyze the time and space complexity of algorithms, and compare the performance of different algorithms. Mastering Data Structures & Algorithms using C and C++ course is designed to provide a deep understanding of various data structures and algorithms and their implementation using the C and C++ programming languages. The course will cover fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs and will also cover various sorting and searching algorithms. The course will also cover advanced data structures like AVL trees, B-Trees, and Hash tables. The course will provide a strong foundation in data structures and algorithms, which is essential for any computer science student or software developer. The course will be taught through a combination of theory and hands-on programming exercises and projects. The course will also cover Time and Space complexity analysis of the algorithms. The course will also include several quizzes and assignments to help learners test and reinforce their understanding of the concepts covered in the course. The course would be beneficial for students, software developers, and anyone interested in learning about data structures and algorithms in depth and how to implement them in the C and C++ programming languages.
- 1. Arrays Basics
- 2. Practice Arrays Basics
- 3. Practice Structures
- 4. Practice Pointers
- 5. Reference in C++
- 6. Practice Reference
- 7. Pointer to Structure
- 8. Practice Pointer to Structure
- 9. Functions
- 10. Practice Functions
- 11. Parameter Passing Methods
- 12. Practice Parameter Passing Methods
- 13. Array as Parameter
- 14. Practice Array as Parameter
- 15. Practice Structure as Parameter
- 16. Converting a C program to a C++ class
- 17. Practice Monolithic Program
- 18. Practice Modular Program
- 19. Practice Structure and Functions
- 20. Practice Object-Oriented Program
- 21. Practice Cpp Class
- 22. Template classes
- 23. Practice Template Class
- 1. How Recursion Works ( Tracing )
- 2. Generalising Recursion
- 3. How Recursion uses Stack
- 4. Recurrence Relation - Time Complexity of Recursion
- 5. Lets Code Recursion
- 6. Static and Global Variables in Recursion
- 7. Let's Code Static and Global in Recursion
- 8. Tail Recursion
- 9. Head Recursion
- 10. Tree Recursion
- 11. Indirect Recursion
- 12. Let's Code Indirect Recursion
- 13. Nested Recursion
- 14. Let's Code Nested Recursion
- 15. Sum of Natural Number using Recursion
- 16. Let's Code Sum of N using Recursion
- 17. Factorial using Recursion
- 18. Let's Code Factorial using Recursion
- 19. Let's Code Power Recursion
- 20. Taylor Series using Recursion
- 21. Let's Code Taylor Series using Recursion
- 22. Taylor Series using Horner's Rule
- 23. Let's Code Taylor Series Horner's Rule-Recursion
- 24. Let's Code Fibonacci
- 25. nCr using Recursion
- 26. Let's Code nCr using Recursion
- 27. Tower of Hanoi Problem
- 28. Let's Code Tower of Hanoi
- 29. Quiz 1 Solutions
- 1. Introduction to Array
- 2. Declarations of Array
- 3. Demo - Array Declaration
- 4. Static vs Dynamic Arrays
- 5. Demo - Static vs Dynamic Array
- 6. How to Increase Array Size
- 7. Demo - Increasing Array Size
- 8. 2D Arrays
- 9. Array Representation by Compiler
- 10. Row Major Formula for 2D Arrays
- 11. Column Major Formula for 2D Arrays
- 12. Formulas for nD Arrays
- 13. Formulas for 3D Arrays
- 14. Solutions for Quiz 2
- 1. Introduction to Strings
- 2. Finding Length of a String
- 3. Changing Case of a String
- 4. Counting Words and Vowels in a String
- 5. Validating a String
- 6. Reversing a String
- 7. Comparing Strings and Checking Palindrome
- 8. Finding Duplicates in a String
- 9. Finding Duplicates in a String using Bitwise Operations
- 10. Checking if 2 Strings are Anagram distinct letters
- 1. Section Introduction
- 2. Let's Code Diagonal Matrix
- 3. C++ class for Diagonal Matrix
- 4. Let's Code C++ class for Diagonal matrix
- 5. Lower Triangular Matrix Row-Major Mapping
- 6. Lower Triangular Matrix Column-Major Mapping
- 7. Let's Code Lower Triangular Matrix in C
- 8. Upper Triangular Matrix Row-Major Mapping
- 9. Symmetric Matrix
- 10. Tri-Diagonal and Tri-Band Matrix
- 11. Toeplitz Matrix
- 12. Menu Driven Program for Matrices
- 13. Menu Driven Program for Matrices using Functions
- 1. Why we need Dynamic Data Structure Linked List
- 2. About Linked List
- 3. More About Linked List
- 4. Display Linked List
- 5. Let's Code Display for Linked List
- 6. Recursive Display of Linked List
- 7. Let's Code Recursive Display for Linked List
- 8. Sum of All Elements in a Linked List
- 9. Let's Code Count and Sum
- 10. Maximum Element in a Linked List
- 11. Searching in a Linked List
- 12. Improve Searching in Linked List
- 13. Let's Code Searching in Linked List
- 14. Inserting in a Linked List
- 15. Let's Code Insert for Linked List
- 16. Creating a Linked List using Insert
- 17. Creating a Linked List by Inserting at List
- 18. Inserting in a Sorted Linked List
- 19. Let's Code Insert in Sorted Linked List
- 20. Deleting from Linked List
- 21. Let's Code Delete on Linked List
- 22. Check if a Linked List is Sorted
- 23. Let's Code to check if Linked List is Sorted
- 24. Remove Duplicates from Sorted Link List
- 25. Let's Code to Remove Duplicates from Sorted Linked List
- 26. Let's Code Reversing a Linked List
- 27. Concatenating 2 Linked Lists
- 28. Merging 2 Linked Lists
- 29. Let's Code to Concatenate and Merge Linked Lists
- 30. Check for LOOP in Linked List
- 31. Let's Code to Check LOOP
- 32. Circular Linked List
- 33. Let’s Code Circular Linked List
- 34. Inserting in a Circular Linked List
- 35. Let's Code Insert for a Circular Linked List
- 36. Insert In A Doubly Linked List
- 37. Let's Code Insert for Doubly Linked List
- 38. Deleting from Doubly Linked List
- 39. Let's Code Delete for Doubly Linked List
- 40. Reverse a Doubly Linked List
- 41. Let's Code Reverse for Doubly Linked List
- 42. Circular Doubly Linked List
- 43. Comparison of Linked List
- 44. Comparison of Array with Linked List
- 45. Student Challenge Finding Middle Element of a Linked List
- 46. Student Challenge Finding Intersecting point of two Linked List
- 1. Stack using Array
- 2. Let's Code Stack using Array
- 3. Stack using Linked List
- 4. Stack Operations using Linked List
- 5. Let's Code Stack using Linked List
- 6. Let's Code C++ class for Stack using Linked List
- 7. Parenthesis Matching
- 8. Program for Parenthesis Matching
- 9. Let's Code Parenthesis Matching
- 10. Infix to Postfix Conversion
- 11. Associativity and Unary Operators
- 12. Infix to Postfix using Stack Method
- 13. Let's Code Infix to Postfix Conversion
- 14. Student Challenge Infix to Postfix with Associativity and Parenthesis
- 15. Evaluation of Postfix Expression
- 16. Program for Evaluation of Postfix
- 1. Queue Adt
- 2. Queue using Two Pointers
- 3. Implementing Queue using Array
- 4. Let's Code Queue using Array
- 5. Let's Code Queue in C++
- 6. Circular Queue
- 7. Let's Code Circular Queue
- 8. Queue using Linked List
- 9. Let's Code Queue using Linked List
- 10. Double Ended Queue DEQUEUE
- 11. Queue using 2 Stacks
- 1. Trees Terminology
- 2. Number of Binary Trees using N Nodes
- 3. Height vs Nodes in Binary Tree
- 4. Internal Nodes vs External Nodes in Binary Tree
- 5. Strict Binary Tree
- 6. Height vs Node of Strict Binary Tree
- 7. Internal vs External Nodes of Strict Binary Tree
- 8. n-ary Trees
- 9. Analysis of n-Ary Trees
- 10. Representation of Binary Tree
- 11. Linked Representation of Binary Tree
- 12. Full vs Complete Binary Tree
- 13. Strict vs Complete Binary Tree
- 14. Binary Tree Traversals
- 15. Binary Tree Traversal Easy Method 2
- 16. Binary Tree Traversal Easy Method 3
- 17. Creating Binary Tree
- 18. Program to Create Binary Tree
- 19. Let's Code Creating Binary Tree
- 20. Let's Code Creating Binary Tree in C++
- 21. Preorder Tree Traversal
- 22. Iterative Preorder
- 23. Iterative Inorder
- 24. Let's Code Iterative Traversals
- 25. Level Order Traversal
- 26. Let's Code Level Order Traversal
- 27. Can we Generate Tree from Traversals
- 28. Generating Tree from Traversals
- 29. Height and Count of Binary Tree
- 30. Let's Code Height and Count
- 31. Student Challenge Count Leaf Nodes Of Binary Tree
- 1. Criteria used for Analysing Sorts
- 2. Bubble Sort
- 3. Let's Code Bubble Sort
- 4. Insertion Sort
- 5. Program for Insertion Sort
- 6. Analysis of Insertion Sort
- 7. Let's Code Insertion Sort
- 8. Comparing Bubble and Insertion Sort
- 9. Selection Sort
- 10. Program for Selection Sort
- 11. Analysis of Selection Sort
- 12. Let's Code Selection Sort
- 13. Idea behind Quick Sort
- 14. Quick Sort
- 15. Analysis of Quick Sort
- 16. Analysis of Quick Sort Continued
- 17. Let's Code Quick Sort
- 18. Merging
- 19. Iterative Merge Sort
- 20. Let's Code Iterative Merge Sort
- 21. Recursive Merge Sort
- 22. Let's Code Recursive Merge Sort
- 23. Count Sort
- 24. Let's Code Count Sort
- 25. Radix Sort
- 26. Bin Bucket Sort
- 27. Shell Sort
- 1. Introduction to Graphs
- 2. Representation of Undirected Graph
- 3. Representation of Directed Graphs
- 4. Breadth First Search
- 5. Program for BFS
- 6. Depth First Search
- 7. Program for DFS
- 8. Let's Code BFS & DFS
- 9. Prim's Minimum Cost Spanning Tree
- 10. Prim's Program
- 11. Let's Code Prim's using
- 12. Kruskal's Minimum Cost Spanning Tree
- 13. Disjoint Subsets
- 14. Kruskal's Program
- 15. Let's Code Kruskla's Program
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