Aug 25 2023 Leetcode In Javascript : Algo Coding Interview Questions BaDshaH LEARNING / e-learning - Tutorials 05:16 0 Published 8/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 5.40 GB | Duration: 22h 41mPractice data structure and algorithms questions for interviews at FAANG companies like Google, Facebook, Apple & Amazon What you'll learnSolve Easy to Hard Difficulty problems using different data structures and algorithmsHow to solve some of the most popular interview questions asked by major tech companiesBreaking down the coding interview problems in a step by step, systematic mannerPopular problems patternsAlgorithms and data structuresRequirementsBasic Knowledge of jаvascript is preferredBasic Knowledge of Fundamental data structures and algorithms is preferredDescriptionWant to master popular problem-solving techniques, data structures, and algorithms that interviewers love? Dive right in!Crave step-by-step explanations for the industry's hottest interview questions? We've got you covered.Looking to up your game in competitive programming? Buckle up for a thrilling journey!Welcome to the course!In this course, you'll have a detailed, step by step explanation of hand-picked LeetCode questions where you'll learn about the most popular techniques and problems used in the coding interview, This is the course I wish I had when I was doing my interviews. and it comes with a 30-day money-back guaranteeWhat is LeetCode?LeetCode is essentially a huge repository of real interview questions asked by the most popular tech companies ( Google, Amazon, Facebook, Microsoft, and more ).The problem with LeetCode is also its advantage, IT'S HUGE, so huge in fact that interviewers from the most popular companies often directly ask questions they find on LeetCode, So it's hard to navigate through the huge amount of problems to find those that really matter, this is what this course is for.I spent countless hours on LeetCode and I'm telling you that you don't have to do the same and still be able to get a job at a major tech company.Course overview :In this course, I compiled the most important and the most popular interview questions asked by these major companies and I explain them, in a true STEP BY STEP fashion to help you understand exactly how to solve these types of questions.The problems are handpicked to ensure complete coverage of the most popular techniques, data structures, and algorithms used in interviews so you can generalise the patterns you learn here on other problems.Each problem gets multiple videos :Explanation and intution video(s): we do a detailed explanation of the problems and its solution, this video will be longer because we will do a step by step explanation for the problems.Coding video(s): where we code the solution discussed in the explanation video together.Walkthrough video(s): where we go over each line of code and see what it doesWe will use basic jаvascript for this course to code our solutions, previous knowledge in jаvascript is preferred but NOT required for the coding part of the course.The problems are categorised for easier navigation and will be regularly updated with more popular and interesting problems.Some of the stuff this course will cover are :Arrays and Strings interview questions.Searching interview questions and algorithms.Dynamic Programming interview questions.Backtracking interview questions ( With step by step visualisation ).Trees and Graphs interview questions and algorithms.Data structures Like Stacks, Queues, Maps, Linked Lists, and more.In other words, this course is your one-stop-shop for your dream job.OverviewSection 1: Microsoft Array Question: Container with most water (Medium)Lecture 1 Introduction to the problemLecture 2 Brute Force solution IntuitionLecture 3 pseudocode walkthroughLecture 4 Better Approach intuitionLecture 5 Approach 2 Pseudocode walkthroughLecture 6 Implementing the codeSection 2: Google Array Question: Valid mountain array (Easy)Lecture 7 Introduction to the problemLecture 8 How to think about this problemLecture 9 Pseudocode WalkthroughLecture 10 Implementing the codeSection 3: Google Array Question: Boats to save people (Medium)Lecture 11 Problem IntroductionLecture 12 How to intuitively think about this problemLecture 13 Pseudocode WalkthroughLecture 14 Implementing the codeSection 4: Facebook Array Question: Move Zeroes (Easy)Lecture 15 Brute force IntuitionLecture 16 Brute force pseudocode walkthroughLecture 17 Better Approach IntuitionLecture 18 Better Approach Pseudocode walkthroughLecture 19 Implementing the codeSection 5: Amazon Array Question: Longest substring without repeating characters (Medium)Lecture 20 Introduction to the problemLecture 21 Brute Force IntuitionLecture 22 Pseudocode walkthroughLecture 23 Approach 2 IntuitionLecture 24 Approach 2 pseudocode walkthroughLecture 25 Implementing the codeSection 6: Arrays Question:Find first and last position of element in sorted Array (Medium)Lecture 26 Introduction to the problem and brute force approachLecture 27 Brute force Pseudocode walkthroughLecture 28 Approach 2: Optimal Approach intuitionLecture 29 Pseudocode walkthrough part 1Lecture 30 Pseudocode walkthrough part 2Lecture 31 Implementing the codeSection 7: Google Array question: first bad version (Easy)Lecture 32 Introduction To The Problem And Brute Force ApproachLecture 33 Optimal Solution IntuitionLecture 34 Optimal solution pseudocode walkthroughLecture 35 Implementing the codeSection 8: Microsoft Math Question: Missing Number (Easy-ish)Lecture 36 Introduction to the problemLecture 37 Approach 1: Brute Force ApproachLecture 38 Approach 2: A Better Approach ExplanationLecture 39 PseudoCode Walkthrough For Approach 2Lecture 40 Implementing the codeLecture 41 Approach 3: Optimal ApproachLecture 42 Implementing the optimal approachSection 9: Amazon Math Question: Count PrimesLecture 43 Problem Introduction And Brute Force ExplanationLecture 44 Pseudocode Walkthrough For Brute Force ApproachLecture 45 Approach 2: Optimal solutionLecture 46 Pseudocode Walkthrough For Optimal ApproachLecture 47 Code ImplementationSection 10: Airbnb Math Question: Single NumberLecture 48 Introduction to the problem and brute force approachLecture 49 Pseudocode walkthrough for brute approachLecture 50 Approach 2: better ApproachLecture 51 Implementing the codeLecture 52 Approach 3: optimal approachLecture 53 Implementing the optimal approachSection 11: Amazon Math Question: Robot return to origin (Easy)Lecture 54 Explaining the problemLecture 55 Implementing the codeSection 12: Facebook Math Question: Add Binary (Easy)Lecture 56 Introduction to the problemLecture 57 Examples of binary additionsLecture 58 Pseudocode ImplementationLecture 59 Pseudocode WalkthroughLecture 60 Implementing the codeSection 13: Google Hash Tables / Dictionaries question: Two Sum (Easy)Lecture 61 Approach 1: Introduction to the problem and brute force approachLecture 62 Brute force Pseudocode ImplementationLecture 63 Pseudocode WalkthroughLecture 64 Approach 2: Optimal Approach ExplanationLecture 65 Pseudocode WalkthroughLecture 66 Code ImplementationSection 14: Google Hash Tables / Dictionaries question: Contains DuplicateLecture 67 Introduction to the problem and multiple approachesLecture 68 Optimal ApproachLecture 69 Implementing the codeSection 15: Google Hash Tables / Dictionaries question: Majority ElementLecture 70 Approach 1 IntuitionLecture 71 Approach 1 Pseudocode WalkthroughLecture 72 Approach 2 - Majority Element IntuitionLecture 73 Implementing Approach 2 codeLecture 74 Approach 3 Intuition - Optimal solutionLecture 75 Approach 3 Walkthrough - Optimal solutionLecture 76 Implementing Approach 3 (optimal approach)Section 16: Facebook Hash Tables / Dictionaries question: Group Anagrams (Medium)Lecture 77 Explanation - Group Anagrams - Medium #49Lecture 78 Code - Group Anagrams - Medium #49Section 17: Hash Tables / Dictionaries question: 4sum 2 (Medium)Lecture 79 Brute force ExplanationLecture 80 Brute Force Pseudocode WalkthroughLecture 81 Approach 2: Optimal approachLecture 82 Implementing the codeSection 18: Microsoft Hash Tables / Dictionaries question: LRU Cache (Medium)Lecture 83 Introduction to the problemLecture 84 Input/Ouput for the problemLecture 85 Intuition behind the problemLecture 86 Pseudocode implementationLecture 87 Pseudocode WalkthroughSection 19: Linkedin Hash Tables / Dictionaries question: Minimum Window Substring (Hard)Lecture 88 Explanation - Minimum Window Substring - part 1Lecture 89 Explanation - Minimum window substring - part 2Lecture 90 Explanation - Minimum window substring - part 3Lecture 91 Pseudocode ImplementationLecture 92 Pseudocode WalkthroughLecture 93 Code - Minimum Window Substring - Hard #76Section 20: Apple Linked list question: Merge Two Sorted Lists (Easy)Lecture 94 Explanation - Merge Two Sorted Lists - Easy #21Lecture 95 Pseudocode Implementation - Merge Two Sorted Lists - Easy #21Lecture 96 Walkthrough - Merge Two Sorted Lists - Easy #21Lecture 97 Code - Merge Two Sorted Lists - Easy #21Section 21: Amazon Linked list question: Linked list cycle (Medium)Lecture 98 Explanation - Linked List Cycle - Easy #141Lecture 99 Intuition - Linked List Cycle - Easy #141Lecture 100 Walkthrough - Linked List Cycle - Easy #141Lecture 101 Code - Linked List Cycle - Easy #141Section 22: Microsoft Linked list question: Reverse linked list (Medium)Lecture 102 Explanation - Reverse Linked ListLecture 103 Intuition - Reverse Linked ListLecture 104 pseudocode Implementation & Walkthrough - Reverse Linked ListLecture 105 Implementing the code - Reverse Linked ListSection 23: Adobe Linked list question: Add two numbers (Medium)Lecture 106 Explanation - Add Two NumbersLecture 107 Intuition - Add Two NumbersLecture 108 Pseudocode Implementation - Add Two NumbersLecture 109 Walkthrough - Add Two Numbers - Medium #2Lecture 110 Code - Add Two NumbersSection 24: Linked list question: Remove Nth node from end of list (Medium)Lecture 111 Explanation - Remove Nth Node From End of ListLecture 112 Intuition - Remove Nth Node From End of ListLecture 113 Walkthrough - Remove Nth Node From End of ListLecture 114 Approach 2 Explanation - Remove Nth Node From End of ListLecture 115 Approach 2 Walkthrough - Remove Nth Node From End of List - Medium #19Lecture 116 Code - Remove Nth Node From End of ListSection 25: Linked list question: Odd Even linked list (Medium)Lecture 117 Explanation - Odd Even Linked ListLecture 118 Intuition - Odd Even Linked ListLecture 119 Pseudocode Implementation - Odd Even Linked ListLecture 120 Walkthrough - Odd Even Linked ListLecture 121 Code - Odd Even Linked ListSection 26: Google Linked list question: Merge K sorted lists (Hard)Lecture 122 Explanation - Merge K Sorted Lists - Hard #23Section 27: Facebook Backtracking question: Subsets (Medium)Lecture 123 Explanation - SubsetsLecture 124 Cascading solution explanation - SubsetsLecture 125 Cascading solution walkthrough - SubsetsLecture 126 Backtracking Approach 2 explanation - SubsetsLecture 127 Implementing the codeSection 28: Amazon Backtracking question: Letter Combination of a Phone Number (Medium)Lecture 128 Explanation - Letter Combinations of a Phone NumberLecture 129 Intuition - Letter Combinations of a Phone NumberLecture 130 Walkthrough - Letter Combinations of a Phone NumberLecture 131 Code - Letter Combinations of a Phone NumberSection 29: Uber Backtracking question: Combination Sum (Medium)Lecture 132 Explanation the problemLecture 133 Intuition behind the problemLecture 134 Walkthrough over the pseudocodeLecture 135 Implementing the codeSection 30: Bloomberg Backtracking question: Palindrome Partitioning (Medium)Lecture 136 Explaining the problemLecture 137 Pseudocode implementationLecture 138 Walkthrough over pseudocodeLecture 139 Implementing the codeSection 31: Microsoft Trees question: Symmetric Trees (Easy)Lecture 140 Explaining the problemLecture 141 Intuition behind the problemLecture 142 Walkthrough over pseudocodeLecture 143 Implementing the codeSection 32: Google Trees question: Maximum Depth of a Binary Tree (Easy)Lecture 144 Explaining the problemLecture 145 Intuition and pseudocode implementationLecture 146 Walkthrough over pseudocodeLecture 147 Implementing the codeSection 33: Amazon Trees question: Path Sum (Easy)Lecture 148 Explaining the problemLecture 149 Intuition behind the problemLecture 150 Walkthrough over pseudocodeLecture 151 Coding the solutionSection 34: Facebook Trees question: Lowest Common Ancestor of a Binary Tree (Medium)Lecture 152 Explaining the problemLecture 153 Intuition behind the problemLecture 154 Pseudocode implementationLecture 155 Walkthrough over pseudocodeSection 35: Google Trees question: Kth Smallest Element In a BST (Medium)Lecture 156 Explaining the problemLecture 157 Optimized Solution Explanation- Kth Smallest Element in a BST - Medium #230Lecture 158 Code - Kth Smallest Element in a BST - Medium #230Section 36: Microsoft Trees question: Serialise And Deserialise Binary Tree (Hard)Lecture 159 Explaining the "Serialisation"Lecture 160 Walkthrough over pseudocode (Serialisation)Lecture 161 Explaining the "Deserialisation"Lecture 162 Walkthrough over pseudocode (Deserialisation)Section 37: Microsoft Trees question: Binary Tree Maximum Path Sum (Hard)Lecture 163 Explaining the problemLecture 164 Intuition behind the problemLecture 165 Walkthrough over pseudocodeLecture 166 Coding the solutionSection 38: Google Stack Question: Min Stack (Easy)Lecture 167 Brute force explanation - Min Stack - Easy #155Lecture 168 Walkthrough over pseudocodeLecture 169 Optimal solution explanationSection 39: Amazon Stack Question: Valid Parenthesis (Easy)Lecture 170 Explaining the problemLecture 171 Intuition behind this problemLecture 172 Pseudocode ImplementationLecture 173 Walkthrough over the pseudocodeLecture 174 Code - Valid Parenthesis - Easy #20Section 40: Apple Stack Question: Binary Tree Level Order Traversal (Medium)Lecture 175 Explaining the problemLecture 176 Walkthrough over pseudocodeLecture 177 Implementing the codeSection 41: Microsoft Queue Question: Binary Tree Zigzag Level Order Traversal (Medium)Lecture 178 Explaining the problemLecture 179 Intuition behind the problemLecture 180 Walkthrough over pseudocodeLecture 181 Optimal solution explanationLecture 182 Optimal solution pseudocode walkthroughLecture 183 Implementing the codeSection 42: Stack Question: Binary Tree Postorder Traversal (Medium)Lecture 184 Explanation of the problemLecture 185 Implementing the codeSection 43: Google Dynamic Programming Question: House Robber (Easy)Lecture 186 Explanation behind the problemLecture 187 Intuition behind the problemLecture 188 2nd Approach: Bottom Up dynamic programmingLecture 189 Walkthrough behind pseudocodeLecture 190 Implementing the codeSection 44: Facebook Dynamic Programming Question: Best Time To Buy And Sell Stocks (Easy)Lecture 191 Explanation behind the problemLecture 192 Intuition behind the problemLecture 193 Walkthrough over pseudocodeLecture 194 Optimal solution explanationLecture 195 Coding the solutionSection 45: Amazon Dynamic Programming Question: Climbing Stairs (Easy)Lecture 196 Explaining the problemLecture 197 Intuition behind the problemLecture 198 Implementation the pseudocodeLecture 199 Bottom up approach explanationLecture 200 Bottom up approach walkthrough - Climbing Stairs - Easy #70Lecture 201 Bottom up optimization - Climbing Stairs - Easy #70Lecture 202 Code - Climbing Stairs - Easy #70Section 46: Google Dynamic Programming Question: Coin Change (Medium)Lecture 203 Explaining the problemLecture 204 Intuition behind the problemLecture 205 Pseudocode Implementation and optimisationLecture 206 Bottom up approach explanationLecture 207 Implementing the codeSection 47: Bloomberg Dynamic Programming Question: Unique Paths (Medium)Lecture 208 Explaining the problemLecture 209 Pseudocode Implementation and walkthroughLecture 210 Implementing the codeSection 48: Microsoft Dynamic Programming Question: Longest Palindromic Substring (Medium)Lecture 211 Explanation of the problemLecture 212 Initial Intuition behind the problemLecture 213 Optimising the previous solutionLecture 214 Pseudocode ImplementationLecture 215 Walkthrough over pseudocodeLecture 216 Implementing the codeSection 49: Amazon Dynamic Programming Question: Trapping Rain Water (Hard)Lecture 217 Explaining the problemLecture 218 Implementing the solutionDevelopers eager to pass the coding interview at huge companies like Google, Facebook, Microsoft, Amazon, etc,People who want to develop their problem solving skills,Developers getting ready for their interviews,Students getting ready for their internship interviewsHomepagehttps://www.udemy.com/course/leetcode-in-jаvascript/Download From 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Interview QuestionsLeetCode In Java: Algorithms Coding Interview Questions (2023)The Complete Data Structures and Algorithms Course in Python Comments (0)Add comment Submit NEWEST RELEASES 17.05: Atlantis Word Processor 4.3.10 17.05: TunesBank Disney+ Downloader 1.5.2 Multilingual 17.05: TunesBank Apple TV+ Downloader 1.2.4 Multilingual 17.05: Ashampoo Snap 16.0.5 (x64) Multilingual 17.05: Danil Pristupov Fork 1.97 17.05: Remote Desktop Manager Enterprise 2024.1.29 (x64) Multilingual 17.05: Adobe Substance 3D Painter 10.0.0 (x64) Multilingual 17.05: Smart PC Optimizer PRO 9.4.0.4 17.05: Astute Graphics Plug-ins Elite Bundle 3.8.4 17.05: Wondershare PDFelement Professional 10.4.1.2755 Multilingual Recommended Filehosts Freinds Site