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Learn Data Structures And Solve Interview Problems
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[Image: 3c644c9510aa7c7e759162774133e520.jpg]

Learn Data Structures And Solve Interview Problems

Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.27 GB | Duration: 3h 7m



Learn the fundamentals of data structure and solve interview coding problems related to data structures

What you'll learn
Learn fundamentals of data structure
Solve data structure related interview problems
Become an expert in approaching data structure related problems
Solve 100+ DS related interview questions

Requirements
Familiar with python programming language and any python IDE (like PyCharm)

Description
Understand the fundamentals of the data structures and solve related Interview problems in python.Course Structure:Introduction:What is data structure?Demo: LinkedlistRuntime analysisStacks:Stack DS refresherDemo: Stack Interview questionsDemo: Stack Interview questions - Balanced parenthesisQueues:Queue, Circular, Priority QueueDemo: Queue Interview questions - Reverse a QueueDemo: Queue Interview questions - Level order traversal in treeLinkedlists:Linked listLinked list DS refresherDemo: Linkedlist implementationDemo: Linkedlist Interview question - Reverse a given linked listDemo: Linkedlist Interview question - Check for cycle in a given linked listDemo: Linkedlist Interview question - Find intersection between 2 linked listHashtables:Hash table DS refresherDemo: Interview question - Array SubsetDemo: Interview question - Remove duplicates in LinkedlistDemo: Interview question - Finding K-distance duplicatesTrees:Tree Data StructureTree traversal and related conceptsBinary tree DSDemo: Interview question - Find n-th node inorder traversalDemo: Interview question - Level-order-traversalDemo: Interview question - Construct tree from given inorder preorderBinary Search Tree (BST)Demo: Interview question - Finding postorder from given preorder of a BSTHeap DSDemo: Find Kth largest elementGraphs:Graph Data Structure - RefresherGraph DS basics & representationGraph traversals - BFS, DFSDemo: DFS ImplementationDemo: Interview question - Largest RegionDemo: Interview question - Count islandsDemo: DFS, BFS ApplicationMinimum Spanning Tree & Shortest path - RefresherRequirementsBasics knowledge of computer programming (preferably with Python)Windows / Linux / Mac OS X Machine with InternetContent teamExpert: Arunkumar KrishnanProduction: Vishnu Sakthivel

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Demo: Linked-list

Lecture 3 Runtime Analysis

Section 2: Stack Data Structure

Lecture 4 Stack Data Structure

Lecture 5 Demo: Stack Interview questions

Lecture 6 Demo: Stack Interview questions - Balanced parenthesis

Section 3: Queue Data Structure

Lecture 7 Queue, Circular, Priority Queue

Lecture 8 Demo: Queue Interview questions - Reverse a Queue

Lecture 9 Demo: Queue Interview questions - Level order traversal in tree

Section 4: Linkedlist Data Structure

Lecture 10 Linkedlist DS refresher

Lecture 11 Demo: Linkedlist implementation

Lecture 12 Demo: Linkedlist Interview question - Reverse a given linked list

Lecture 13 Demo: Linkedlist Interview question - Check for cycle in a given linked list

Lecture 14 Demo: Linkedlist Interview question - Find intersection between 2 linked list

Section 5: Hashtable Data Structure

Lecture 15 Hash table DS refresher

Lecture 16 Demo: Interview question - Arrray Subset

Lecture 17 Demo: Interview question - Remove duplicates in Linkedlist

Lecture 18 Demo: Interview question - K-distance duplicates

Section 6: Tree Data Structure

Lecture 19 Tree traversal and related concepts

Lecture 20 Binary tree

Lecture 21 Demo: Level-order-traversal

Lecture 22 Demo: Find n-th node in inorder traversal

Lecture 23 Demo: Construct tree from inorder and preorder

Lecture 24 Binary Search Tree (BST)

Lecture 25 Demo: Interview Questions - Convert BST preorder to postorder

Lecture 26 Heap Data Structure

Lecture 27 Demo: Interview Questions - Find Kth largest element

Section 7: Graph Data Structure

Lecture 28 Graph Basics and Representation

Lecture 29 Graph traversals - BFS, DFS

Lecture 30 Demo: DFS Implementation

Lecture 31 Demo: Interview question - Largest Region

Lecture 32 Demo: Interview question - Count Islands

Lecture 33 Demo: DFS, BFS Application

Lecture 34 Minimum Spanning Tree (MST) in Graph

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