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Course Introduction
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Course Introduction
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Curriculum Walkthrough
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Big O Notation
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Section Introduction
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Complexity Analysis
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Why we need Big O Notation?
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Big O(n) Complexity
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Big O(1) Complexity
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Counting Operations
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Simplifying Big O - Part 1
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Big O(n^2) Complexity
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Simplifying Big O - Part 2
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Big O(n!) Complexity
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Space Complexity
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Space Complexity - II
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Section Summary
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Essential Concepts - I
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Memory
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Logarithm
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Data Structure - Introduction
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Introduction to Data Structures
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Data Structures - Array
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Array Introduction
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Array - Common Operations I
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Array - Common Operations II
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Static vs Dynamic Array - Common Operations III
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Data Structures - Linked List
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Linked List
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Linked List Complexities
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Doubly Linked List
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Circular Linked List and Implementing A Linked List
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Data Structures - Stack and Queue
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Stack and Queue
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Data Structures - Hash Tables
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Hash Tables
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Data Structures - Trees
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Tree - Part 1
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Tree - Part 2
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Binary Tree
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Types of Binary Tree
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Binary Search Tree
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AVL - Red Back Tree
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Data Structures - Heaps
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Heaps
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Heap Sort and Priority Queue
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Data Structures - Trie
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Trie - I
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Trie - II
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Why are Tries Important?
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Data Structures - Graph
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Graph
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Quiz 1: Data Structures and Algorithms
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Quiz 2: Data Structures and Algorithms
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Essential Concepts - II
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What is Recursion?
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Recursion: Control of a Function
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Recursion: Tracing Tree
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Recursion: Understanding Call Stack
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Recursion: Tree Recursion
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Recursion Example - Factorial of a Number
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Quiz 3: Data Structures and Algorithms
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Algorithm: Searching
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Linear Search
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Binary Search
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Binary Search Complexity
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Binary Search Implementation
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Binary Search Implementation - Recursion
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Algorithm: Sorting Elementary
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Sorting Algorithm Introduction
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Bubble Sort
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Bubble Sort Visualization
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Bubble Sort Implementation
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Bubble Sort Complexity
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Selection Sort
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Selection Sort Visualization
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Selection Sort - Implementation
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Selection Sort - Complexity
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Insertion Sort
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Insertion Sort Implementation
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Insertion Sort Complexity
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Performance Analysis
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Algorithm: Sorting Advanced
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Divide and Conquer Algorithms
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Quick Sort
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Quick Sort Complexity
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Quick Sort Implementation
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Merge Sort
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Merge Sort Complexity
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Merge Sort Implementation
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Algorithms: Tree Traversal
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Tree Traversal
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Depth First Search - Preorder Inorder Postorder
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Binary Tree Implementation
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Depth First Search - Implementation
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Depth First Search - Complexity
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Breadth First Search - Level Order
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Breadth First Search - Implementation
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Breadth First Search - Complexity
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Algorithms: Graph Traversal
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Graph Traversal
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Graph Implementation
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Breadth First Search - Implementation
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Depth First Search - Implementation
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Graph Traversal Complexity
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Implementations and Interview Questions
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Data Structure Implementation
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Problem Solving Approach
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Question 1: Two Sum
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Two Sum
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Question 2: Min Stack
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Min Stack
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Min Stack Implementation
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Max Stack
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Max Stack
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Question 4: Design a Linked List
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Design a Linked List - I
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Design a Linked List - II
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Design a Linked List - III
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Design a Linked List - IV
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Question 5: Reverse Linked List
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Reverse Linked List - I
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Reverse Linked List - II
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Question 6: Construct Binary Tree
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Traversal (Preorder-Inorder-Postorder)
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Construct BT: From Preorder and Inorder Traversal - I
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Construct BT: From Preorder and Inorder Traversal - II
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Question 7: Invert Binary Tree
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Invert Binary Tree - I
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Invert Binary Tree - II
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Question 8: Construct Binary Search Tree
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Construct BST: From Preorder Traversal
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Construct BST: From Preorder Traversal - II
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Question 9: Detect Capital
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Detect Capital
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Question 10: Reverse String
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Reverse String
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ASCII Table
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Question 11: Longest Palindromic Substring
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Longest Palindromic Substring - I
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Longest Palindromic Substring - II
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Thank You For Being Here!
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Thank You For Being Here!
Preview - Data Structures and Algorithms Bootcamp Using Python
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