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Learn tips on how to use knowledge constructions and algorithms to their most impact with our in-depth video course, “Mastering Data Structures & Algorithms Using C and C++.” This academic sequence is made to help you in growing your programming expertise and fixing points. It has more than 30 hours of attention-grabbing video content material.
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In this thoughtfully created course, the basics of information constructions and algorithms are addressed. You will be taught the vital ideas, approaches, and finest practices in a simply understandable means. Whether you’re a newbie attempting to construct a powerful basis or a skilled programmer wishing to sharpen your expertise, this course is your best choice.
You will set out on a journey to grasp the artwork of algorithmic knowledge constructions in this course. Our fastidiously ready curriculum covers the basics and teaches you the important thing concepts, strategies, and finest practices in an approachable means. This course is your finest useful resource whether or not you’re a novice attempting to determine a stable basis or a skilled programmer seeking to enhance your expertise.
Learn about algorithms and knowledge constructions in our free online video course, “Mastering Data Structures & Algorithms Using C and C++.” This coaching course, which has more than 30 hours of content material, is your entry-level to change into a talented programmer and drawback solver. Explore the foundations of information constructions and algorithms to deepen your understanding and enhance your programming talents. This course may help you no matter your degree of coding information or want for a stable basis, so make the most of it.
What You Will Learn:
Explore Popular Data Structures and Their Algorithms: Gain proficiency in a variety of well-liked knowledge constructions and the algorithms related to them.
Enhance Analytical Skills in Data Structures: Develop the flexibility to research and make the most of knowledge constructions successfully, boosting your problem-solving expertise.
Master Recursive Algorithms for Data Structures: Learn the intricacies of recursive algorithms as they apply to varied knowledge constructions.
Dive into Sorting Algorithms: Explore the world of sorting algorithms and perceive their implementations.
Implement Data Structures using C and C++ : Learn tips on how to implement knowledge constructions effectively using the C and C++ programming languages.
Course Content of Mastering Data Structures & Algorithms
1. Before we Start Mastering Data Structures & Algorithms
Instructor’s Note
Introduction
2. Essential C and Concepts
Arrays Basics
Practice : Arrays Basics
Structures
Practice : Structures
Pointers
Practice : Pointers
Reference in C++
Practice : Reference
Pointer to Structure
Practice : Pointer to Structure
Functions
Practice : Functions
Parameter Passing Methods
Practice : Parameter Passing Methods
Array as Parameter
Practice : Array as Parameter
Structure as Parameter
Practice : Structure as Parameter
Structures and Functions (Must Watch)
Converting a C program to a C++ class (Must Watch)
Practice : Monolithic Program
Practice : Modular Program
Practice : Structure and Functions
Practice : Object-Oriented Program
C++ Class and Constructor
Practice : Class
Template lessons
Practice : Template Class
3. Required Setup for Programming
Online C and C++ compiler
Setup CodeBlocks and Settings
Setup Dev-C++ and Settings
Debugging using Dev-C++
Debugging using CodeBlocks
Setup Visual Studio
Debugging using Visual Studio
Setup Xcode
4. Introduction Mastering Data Structures & Algorithms
Introduction
Stack vs Heap Memory
Stack vs Heap. Continued…
Ehysical vs Logical Data Structures
ADT
Time and Space Complexity
Time and Space Complexity from Code
5. Recursion Mastering Data Structures & Algorithms
How Recursion Works ( Tracing )
Generalising Recursion
How Recursion makes use of Stack
Recurrence Relation – Time Complexity of Recursion
Lets Code Recursion
Static and Global Variables in Recursion
Let’s Code Static and Global in Recursion
Tail Recursion
Head Recursion
Tree Recursion
Let’s Code Tree Recursion
Indirect Recursion
Let’s Code Indirect Recursion
Nested Recursion
Let’s Code Nested Recursion
Sum of Natural Number using Recursion
Let’s Code Sum of N using Recursion
Factorial using Recursion
Let’s Code Factorial using Recursion
Power using Recursion
Let’s Code Power Recursion
Taylor Series using Recursion
Let’s Code Taylor Series using Recursion
Taylor Series using Horner’s Rule
Let’s Code Taylor Series Horner’s Rule – Recursion
Let’s Code Taylor Series Iterative
Fibonacci Series using Recursion – Memoization
Let’s Code Fibonacci
nCr using Recursion
Let’s Code nCr using Recursion
Tower of Hanoi Problem
Let’s Code Tower of Hanoi
Recursion
Quiz 1 Solutions
6. Arrays Representations Mastering Data Structures & Algorithms
Introduction to Array
Declarations of Array
Demo – Array Declaration
Static vs Dynamic Arrays
Demo – Static vs Dynamic Array
How to Increase Array Size
Demo – Increasing Array Size
2D Arrays v
Demo – 2D Array
Array Representation by Compiler
Row Major Formula for 2D Arrays
Column Major Formula for 2D Arrays
Formulas for nD Arrays
Formulas for 3D Arrays
Arrays Representation
Solutions for Quiz 2
7. Array ADT Mastering Data Structures & Algorithms
Array ADT
Demo – Array ADT
Inserting in an Array
Let’s Code Insert
Deleting from Array
Let’s Code Delete
Linear Search
Improving Linear Search
Let’s Code Linear Search
Binary Search
Binary Search Algorithm
Let’s Code Binary Search
Analysis of Binary Search
Average Case Analysis of Binary Search
Get( ) Set( ) Avg( ) Max( ) capabilities on Array
Let’s Code Get() Set() Max() on Array
Reverse and Shift an Array v
Lest’s Code Reversing an Array
Check if Array is Sorted
Let’s Code to examine if Array is Sorted
Merging Arrays
Let’s Code to Merge Arrays
Set operations on Array – Union, Intersection and Difference
Let’s Code Set operations on Array
Let’s Code a Menu Driver program for Arrays
Let’s convert C program for Array to C++
Let’s Put all collectively in C++ program for Array
Student Challenge : Finding Single Missing Element in an Array
Student Challenge : Finding Multiple Missing Elements in an Array
Student Challenge : Finding Missing Element in an Array Method 2
Student Challenge Finding Duplicates in a Sorted Array
Student Challenge : Finding Duplicates in Sorted Array using Hashing
Student Challenge : Finding Duplicates in a Unsorted Array
Student Challenge : Finding a Pair of Elements with sum Okay
Student Challenge : Finding a Pair of Elements with sum Okay in
Sorted Array
Student Challenge : Finding Max and Min in a single Scan
Array ADT
Solutions for Quiz 3
8. Strings Mastering Data Structures & Algorithms
Introduction to Strings
Finding Length of a String
Changing Case of a String
Counting Words and Vowels in a String
Validating a String
Reversing a String
Comparing Strings and Checking Palindrome
Finding Duplicates in a String
Finding Duplicates in a String using Bitwise Operations
Checking if 2 Strings are Anagram (distinct letters)
Permutation of String
9. Matrices Mastering Data Structures & Algorithms
Section Introduction
Diagonal Matrix
Let’s Code Diagonal Matrix
C++ class for Diagonal Matrix
Let’s Code C++ class for Diagonal matrix
Lower Triangular Matrix Row-Major Mapping
Lower Triangular Matrix Column-Major Mapping
Let’s Code Lower Triangular Matrix in C
Let’s Code Lower Triangular Matrix in
Upper Triangular Matrix Row-Major Mapping
Upper Triangular Matrix Column-Major Mapping
Symmetric Matrix
Tri-Diagonal and Tri-Band Matrix
Toeplitz Matrix
Menu Driven Program for Matrices
Menu Driven Pro ram for Matrices usin Functions
How to Write C++ Classes for All Matrices
Matrices
10. Sparse Matrix and Polynomial Representation
Sparse Matrix Representation
Addition of Sparse Matrices
Array Representation of Sparse Matrix
Let’s Code to Create Sparse Matrix
Program for Adding Sparse Matrix
Let’s Code to Add Sparse Matrix
Let’s Code Sparse Matrix using C++
Let’s Code Sparse Matrix using C++ Continued…..
Polynomial Representation
Polynomial Evaluation
Polynomial Addition
Let’s Code Polynomial
11. Linked List Mastering Data Structures & Algorithms
Why we want Dynamic Data Structure Linked List
About Linked List
More About Linked List
Display Linked List
Let’s Code Display for Linked List
Recursive Display of Linked List
Let’s Code Recursive Display for Linked List
Counting Nodes in a Linked List
Sum of All Elements in a Linked List
Let’s Code Count and Sum
Maximum Element in a Linked List
Let’s Code Max for Linked List
Searching in a Linked List
Improve Searching in Linked List
Let’s Code Searching in Linked List
Inserting in a Linked List
Let’s Code Insert for Linked List
Creating a Linked List using Insert
Creating a Linked List by Inserting at Last
Inserting in a Sorted Linked List
Let’s Code Insert in Sorted Linked List
Deleting from Linked List
Let’s Code Delete on Linked List
Check if a Linked List is Sorted
Let’s Code to examine if Linked List is Sorted
Remove Duplicates from Sorted Linked List
Let’s Code to Remove Duplicates from Sorted Linked List
Reversing a Linked List
Reversing using Sliding Pointers
Recursive Reverse for Linked List
Let’s Code Reversing a Linked List
Concatenating 2 Linked Lists
Merging 2 Linked Lists
Let’s Code to Concatenate and Merge Linked Lists
Check for LOOP in Linked List
Let’s Code to Check LOOP
Let’s Code a C++ class for Linked List
Circular Linked List
Display Circular Linked List
Let’s Code Circular Linked List
Inserting in a Circular Linked List
Let’s Code Insert for a Circular Linked List
Deleting From Circular Linked List
Let’s Code Delete for Circular Linked List
Doubly Linked List
Let’s Code Doubly Linked List
Insert in a Doubly Linked List
Let’s Code Insert for Doubly Linked List
Deleting from Doubly Linked List
Let’s Code Delete for Doubly Linked List
Reverse a Doubly Linked List
Let’s Code Reverse for Doubly Linked List
Circular Doubly Linked List
Comparison of Array with Linked List
Student Challenge : Finding Middle Element of a Linked List.
Student Challenge : Finding Intersecting level of Two Linked List
Linked List Mastering Data Structures & Algorithms
12. Sparse Matrix and Polynomial using Linked List
Student Challenge : Sparse Matrix using Linked List
Student Challenge: Polynomial Representation using Linked
List
Let’s Code Polynomial
13. Stack
Introduction to Stack
Stack using Array
Implementation os Stack using Array
Let’s Code Stack using Array
Stack using Linked List
Stack Operations using Linked List
Let’s Code Stack using Linked List
Let’s Code C++ class for Stack using Linked List
Parenthesis Matching
Program for Parenthesis Matching
Let’s Code Parenthesis Matching
More on Parenthesis Matching
Infix to Postfix Conversion
Associativity and Unary Operators
Infix to Postfix using Stack Method 1
Infix to Postfix using Stack Method 2
Pro ram for Infix to Postfix Conversion
Let’s Code Infix to Postfix Conversion
Student Challenge: Infix to Postfix with Associativity and
Parenthesis
Evaluation of Postfix Expression
Program for Evaluation of Postfix
Let’s Code Evaluation of Postfix
Stack Mastering Data Structures & Algorithms
14. Queues
Queue ADT
Queue using Single Pointer
Queue using Two Pointers
Implementing Queue using Array
Let’s Code Queue using Array
Let’s Code Queue in
Drawback of Queue using Array
Circular Queue
Let’s Code Circular Queue
Queue using Linked List
Let’s Code Queue using Linked List
Double Ended Queue DEQUEUE
Priority Queues
Queue using 2 Stacks
Queue
15. Trees
Terminology
Number of Binary Trees using N Nodes
Height vs Nodes in Binary Tree
Internal Nodes vs External Nodes in Binary Tree
Strict Binary Tree
Height vs Node of Strict Binary Tree
Internal vs External Nodes of Strict Binary Trees
n-ary Trees
Analysis of n-Ary Trees
Representation of Binary Tree
Linked Representation of Binary Tree
Full vs Complete Binary Tree
Strict vs Complete Binary Tree
Binary Tree Traversals
Binary Tree Traversal Easy Method 1
Binary Tree Traversal Easy Method 2
Binary Tree Traversal Easy Method 3
Creating Binary Tree
Program to Create Binary Tree
Let’s Code Creating Binary Tree
Let’s Code Creating Binary Tree in C+
Preorder Tree Traversal Mastering Data Structures & Algorithms
InorderTree Traversals Functions
Iterative Preorder
Iterative Inorder
Let’s Code Iterative Traversals
Level Order Traversal
Let’s Code Level Order Traversal
Can we Generate Tree from Traversals
Generating Tree from Traversals
Height and Count of Binary Tree
Let’s Code Height and Count
Student Challenge : Count Leaf Nodes of a Binary Tree
Binary Trees
16. Binary Search Trees
BST intro
Searching in a Binary Search Tree
Inserting in a Binary Search Tree
Recursive Insert in Binary Search Tree
Creating a Binary Search Tree
Let’s code Binary Search Tree
Deleting from Binary Search Tree
Let’s Code Recursive Insert and Delete on BST
Generating BST from Preorder
Program for Generating BST from Preorder
Drawbacks of Binary Search Tree
Binary Search Trees
17. AVL Trees
Introduction to AVL Trees
Inserting in AVL with Rotations
General type of AVL Rotations
Let’s Code LL Rotation on AVL
Let’s Code LR Rotation on AVL
Generating AVL Tree
Deletion from AVL Tree with Rotations
Height Analysis of AVL Trees
18. Search Trees
2-3 Trees
2-3-4 Trees
Red-Black Trees Introduction
Red-Black Tree creation
Red-Black Trees vs 2-3-4 Trees
Creating Red-Black Tree much like Creating 2-3-4 Tree
Red-Black Tree Deletion Cases
Red-Black Tree Deletion Examples
Red-Black Tree vs 2-3-4 Tree Deletion
19. Heap
Introduction to Heap
Inserting in a Heap
Program to Insert in a Heap
Creating a Heap
Deleting from Heap and Heap Sort
Let’s Code Heap Soft
Heapify – Faster Method for creating Heap
Heap as Priority Queue
20. Sorting Techniques
Criteria used for Analysing Sons
Bubble Sort
Let’s Code Bubble Sort
Insertion Sort
Insertion Son Continued….
Program for Insertion Sort
Analysis of Insertion Sort
Let’s Code Insertion Sort
Comparing Bubble and Insertion Sort
Selection Soft
Program for Selection Sort
Analysis of Selection Sort
Let’s Code Selection Son
Idea behind Quick Sort
Quick Sort
Analysis of Quick Son
Anal sis of Quick Sort Continued….
Let’s Code Quick Sort
Merging
Iterative Merge Sort
Let’s Code Iterative Merge Sort
Recursive Merge Sort
Let’s Code Recursive Merge Sort
Count Sort
Let’s Code Count Sort
Bin / Bucket Sort
Radix Sort
Shell Sort
Let’s Code Shell Sort
21. Hashing Technique
Introduction to Hashing
Chaining
Let’s Code Chaining
Linear Probing
Let’s Code Linear Probing
Quadratic Probing
Double Hashing
Hash Function Ideas
Hashing
22. Graphs
Introduction to Graphs
Representation of Undirected Graph
Representation of Directed Graphs
Breadth First Search
Program for BFS
Depth First Search
Program for DFS
Let’s Code BFS & DFS
Spanning Trees
Prim’s Minimum Cost Spanning Tree
Prim’s Program
Let’s Code Prim’s using
Kruskal’s Minimum Cost Spanning Tree
Disjoint Subsets
Kruskal’s Program
Let’s Code Kruskla’s Program
Graphs
23. Asymptotic Notations
Asymptotic Notations Big Oh , Omega , Theta
PDF for All Programs
Requirements:
Prior Programming Experience: Familiarity with programming in C and C++ is required.
Who Should Take This Course:
Developers Seeking In-Depth Data Structure Knowledge: This course is right for builders seeking to attain a deep understanding of information constructions.
Undergraduates Eager to Master Data Structures: Undergraduate college students who aspire to good their information of information constructions will discover this course extremely useful.
What will I be taught from this course?
You can write fast and optimized code in case you have a stable understanding of information constructions and methods.
How does the course’s group work Mastering Data Structures & Algorithms?
The course is split into in-depth modules that cowl numerous subjects and comprise duties and examples from the actual world that can assist you retain what you’ve realized.
Does this course have any conditions?
There are not any formal {qualifications}, however having a primary understanding of programming will likely be useful.
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