Leetcode In Php: Algorithms Coding Interview Questions

Leetcode In Php: Algorithms Coding Interview Questions

Published 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.87 GB | Duration: 22h 33m

Practice data structure and algorithms questions for interviews at FAANG companies like Google, Facebook, Apple & Amazon

What you'll learn
Solve Easy to Hard Difficulty problems using different data structures and algorithms
How to solve some of the most popular interview questions asked by major tech companies
Breaking down the coding interview problems in a step by step, systematic manner
Popular problems patterns
Strengthen your problem solving and programming skills

Requirements
Basic Knowledge of fundamental data structures and algorithms is preferred
Basic Knowledge of PHP is preferred
If you want to submit the code yourself, you should be familiar with leetcode and have an account

Description
Want 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 intuition 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 PHP for this course to code our solutions, previous knowledge in PHP 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.

Overview
Section 1: Introduction

Lecture 1 What to do if you don't understand an explanation or code video (Important)

Lecture 2 Utilise the video format of online courses

Section 2: Microsoft Array Question: Container with most water (Medium)

Lecture 3 Introduction to the problem

Lecture 4 Brute force solution

Lecture 5 pseudocode walkthrough

Lecture 6 Better Approach intuition

Lecture 7 Approach 2 Pseudocode walkthrough

Lecture 8 Implementing the code

Section 3: Google Array Question: Valid mountain array (Easy)

Lecture 9 Introduction to the problem

Lecture 10 How to think about this problem

Lecture 11 Pseudocode Walkthrough

Lecture 12 Implementing the code

Section 4: Google Array Question: Boats to save people (Medium)

Lecture 13 Problem Introduction

Lecture 14 How to intuitively think about this problem

Lecture 15 Pseudocode Walkthrough

Lecture 16 Implementing the code

Section 5: Facebook Array Question: Move Zeroes (Easy)

Lecture 17 Brute force Intuition

Lecture 18 Brute force pseudocode walkthrough

Lecture 19 Better Approach Intuition

Lecture 20 Better Approach Pseudocode walkthrough

Lecture 21 Implementing the code

Section 6: Amazon Array Question: Longest substring without repeating characters (Medium)

Lecture 22 Introduction to the problem

Lecture 23 Brute Force Intuition

Lecture 24 Pseudocode walkthrough

Lecture 25 Approach 2 Intuition

Lecture 26 Approach 2 pseudocode walkthrough

Lecture 27 Implementing the code

Section 7: Arrays Question:Find first and last position of element in sorted Array (Medium)

Lecture 28 Introduction to the problem and brute force approach

Lecture 29 Brute force Pseudocode walkthrough

Lecture 30 Approach 2: Optimal Approach intuition

Lecture 31 Pseudocode walkthrough part 1

Lecture 32 Pseudocode walkthrough part 2

Lecture 33 Implementing the code

Section 8: Google Array question: first bad version (Easy)

Lecture 34 Introduction To The Problem And Brute Force Approach

Lecture 35 Optimal Solution Intuition

Lecture 36 Optimal solution pseudocode walkthrough

Lecture 37 Implementing the code

Section 9: Microsoft Math Question: Missing Number (Easy-ish)

Lecture 38 Introduction to the problem

Lecture 39 Approach 1: Brute Force Approach

Lecture 40 Approach 2: A Better Approach Explanation

Lecture 41 PseudoCode Walkthrough For Approach 2

Lecture 42 Implementing the code

Lecture 43 Approach 3: Optimal Approach

Lecture 44 Implementing the optimal approach

Section 10: Amazon Math Question: Count Primes

Lecture 45 Problem Introduction And Brute Force Explanation

Lecture 46 Pseudocode Walkthrough For Brute Force Approach

Lecture 47 Approach 2: Optimal solution

Lecture 48 Pseudocode Walkthrough For Optimal Approach

Lecture 49 Code Implementation

Section 11: Airbnb Math Question: Single Number

Lecture 50 Introduction to the problem and brute force approach

Lecture 51 Pseudocode walkthrough for brute approach

Lecture 52 Approach 2: better Approach

Lecture 53 Implementing the code

Lecture 54 Approach 3: optimal approach

Lecture 55 Implementing the optimal approach

Section 12: Amazon Math Question: Robot return to origin (Easy)

Lecture 56 Explaining the problem

Lecture 57 Implementing the code

Section 13: Facebook Math Question: Add Binary (Easy)

Lecture 58 Introduction to the problem

Lecture 59 Examples of binary additions

Lecture 60 Pseudocode Implementation

Lecture 61 Pseudocode Walkthrough

Lecture 62 Implementing the code

Section 14: Google Hash Tables / Dictionaries question: Two Sum (Easy)

Lecture 63 Approach 1: Introduction to the problem and brute force approach

Lecture 64 Brute force Pseudocode Implementation

Lecture 65 Pseudocode Walkthrough

Lecture 66 Approach 2: Optimal Approach Explanation

Lecture 67 Pseudocode Walkthrough

Lecture 68 Code Implementation

Section 15: Google Hash Tables / Dictionaries question: Contains Duplicate

Lecture 69 Introduction to the problem and multiple approaches

Lecture 70 Optimal Approach

Lecture 71 Code Implementation

Section 16: Google Hash Tables / Dictionaries question: Majority Element

Lecture 72 Approach 1 Intuition

Lecture 73 Approach 1 Pseudocode Walkthrough

Lecture 74 Approach 2 - Majority Element Intuition

Lecture 75 Implementing Approach 2 code

Lecture 76 Approach 3 Intuition - Optimal solution

Lecture 77 Approach 3 Walkthrough - Optimal solution

Lecture 78 Implementing Approach 3 (optimal approach)

Section 17: Hash Tables / Dictionaries question: 4sum 2 (Medium)

Lecture 79 Brute force Explanation

Lecture 80 Brute Force Pseudocode Walkthrough

Lecture 81 Approach 2: Optimal approach

Lecture 82 Implementing the code

Section 18: LinkedIn Hash Tables / Dictionaries question: Minimum Window Substring (Hard)

Lecture 83 Explanation - Minimum Window Substring - part 1

Lecture 84 Explanation - Minimum window substring - part 2

Lecture 85 Explanation - Minimum window substring - part 3

Lecture 86 Pseudocode Implementation

Lecture 87 Pseudocode Walkthrough

Lecture 88 Code Implementation - Minimum Window Substring

Section 19: Facebook Hash Tables / Dictionaries question: Group Anagrams (Medium)

Lecture 89 Explanation - Group Anagrams - Medium #49

Lecture 90 Coding the implementation

Section 20: Microsoft Hash Tables / Dictionaries question: LRU Cache (Medium)

Lecture 91 Introduction to the problem

Lecture 92 Input/Output for the problem

Lecture 93 Intuition behind the problem

Lecture 94 Pseudocode implementation

Section 21: Apple Linked list question: Merge Two Sorted Lists (Easy)

Lecture 95 Explanation - Merge Two Sorted Lists - Easy #21

Lecture 96 Pseudocode Implementation - Merge Two Sorted Lists - Easy #21

Lecture 97 Walkthrough - Merge Two Sorted Lists - Easy #21

Lecture 98 Code - Merge Two Sorted Lists - Easy #21

Section 22: Amazon Linked list question: Linked list cycle (Medium)

Lecture 99 Explanation - Linked List Cycle - Easy #141

Lecture 100 Intuition - Linked List Cycle - Easy #141

Lecture 101 Walkthrough - Linked List Cycle - Easy #141

Lecture 102 Code - Linked List Cycle - Easy #141

Section 23: Microsoft Linked list question: Reverse linked list (Medium)

Lecture 103 Explanation - Reverse Linked List

Lecture 104 Intuition - Reverse Linked List

Lecture 105 pseudocode Implementation & Walkthrough - Reverse Linked List

Lecture 106 Implementing the code - Reverse Linked List

Section 24: Adobe Linked list question: Add two numbers (Medium)

Lecture 107 Explanation - Add Two Numbers

Lecture 108 Intuition - Add Two Numbers

Lecture 109 Pseudocode Implementation - Add Two Numbers

Lecture 110 Walkthrough - Add Two Numbers

Lecture 111 Code - Add Two Numbers

Section 25: Linked list question: Remove Nth node from end of list (Medium)

Lecture 112 Explanation - Remove Nth Node From End of List

Lecture 113 Intuition - Remove Nth Node From End of List

Lecture 114 Walkthrough - Remove Nth Node From End of List

Lecture 115 Approach 2 Explanation - Remove Nth Node From End of List

Lecture 116 Approach 2 Walkthrough - Remove Nth Node From End of List

Lecture 117 Code - Remove Nth Node From End of List

Section 26: Linked list question: Odd Even linked list (Medium)

Lecture 118 Explanation - Odd Even Linked List

Lecture 119 Intuition - Odd Even Linked List

Lecture 120 Implementation - Odd Even Linked List

Lecture 121 Walkthrough - Odd Even Linked List

Lecture 122 Code - Odd Even Linked List

Section 27: Facebook Backtracking question: Subsets (Medium)

Lecture 123 Explanation - Subsets

Lecture 124 Cascading solution explanation - Subsets

Lecture 125 Cascading solution walkthrough - Subsets

Lecture 126 Backtracking Approach 2 explanation - Subsets

Lecture 127 Implementing the code

Section 28: Amazon Backtracking question: Letter Combination of a Phone Number (Medium)

Lecture 128 Explanation - Letter Combinations of a Phone Number

Lecture 129 Intuition - Letter Combinations of a Phone Number

Lecture 130 Walkthrough - Letter Combinations of a Phone Number

Lecture 131 Code - Letter Combinations of a Phone Number

Section 29: Uber Backtracking question: Combination Sum (Medium)

Lecture 132 Explanation the problem

Lecture 133 Intuition behind the problem

Lecture 134 Walkthrough over the pseudocode

Lecture 135 Implementing the code

Section 30: Bloomberg Backtracking question: Palindrome Partitioning (Medium)

Lecture 136 Explaining the problem

Lecture 137 Pseudocode implementation

Lecture 138 Walkthrough over pseudocode

Lecture 139 Implementing the code

Section 31: Microsoft Trees question: Symmetric Trees (Easy)

Lecture 140 Explaining the problem

Lecture 141 Intuition behind the problem

Lecture 142 Walkthrough over pseudocode

Lecture 143 Implementing the code

Section 32: Google Trees question: Maximum Depth of a Binary Tree (Easy)

Lecture 144 Explaining the problem

Lecture 145 Intuition and pseudocode implementation

Lecture 146 Walkthrough over pseudocode

Lecture 147 Implementing the real code

Section 33: Amazon Trees question: Path Sum (Easy)

Lecture 148 Explaining the problem

Lecture 149 Intuition behind the problem

Lecture 150 Walkthrough over pseudocode

Lecture 151 Coding the solution

Section 34: Facebook Trees question: Lowest Common Ancestor of a Binary Tree (Medium)

Lecture 152 Explaining the problem

Lecture 153 Intuition behind the problem

Lecture 154 Pseudocode implementation

Lecture 155 Coding Implementing

Section 35: Google Trees question: Kth Smallest Element In a BST (Medium)

Lecture 156 Explaining the problem and brute force approach

Lecture 157 Optimised Solution Explanation

Lecture 158 Implementing the code

Section 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 problem

Lecture 164 Intuition behind the problem

Lecture 165 Walkthrough over pseudocode

Lecture 166 Coding the solution

Section 38: Google Stack Question: Min Stack (Easy)

Lecture 167 Brute force explanation

Lecture 168 Walkthrough over pseudocode

Lecture 169 Optimal solution explanation

Lecture 170 Implementing the code

Section 39: Amazon Stack Question: Valid Parenthesis (Easy)

Lecture 171 Explaining the problem

Lecture 172 Intuition behind this problem

Lecture 173 Pseudocode Implementation

Lecture 174 Walkthrough over the pseudocode

Lecture 175 Implementing the code

Section 40: Apple Stack Question: Binary Tree Level Order Traversal (Medium)

Lecture 176 Explaining the problem

Lecture 177 Walkthrough over pseudocode

Lecture 178 Implementing the code

Section 41: Microsoft Queue Question: Binary Tree Zigzag Level Order Traversal (Medium)

Lecture 179 Explaining the problem

Lecture 180 Intuition behind the problem

Lecture 181 Walkthrough over pseudocode

Lecture 182 Optimal solution explanation

Lecture 183 Optimal solution pseudocode walkthrough

Lecture 184 Implementing the code

Section 42: Stack Question: Binary Tree Postorder Traversal (Medium)

Lecture 185 Explanation of the problem

Lecture 186 Implementing the code

Section 43: Google Dynamic Programming Question: House Robber (Easy)

Lecture 187 Explanation behind the problem

Lecture 188 Intuition behind the problem

Lecture 189 2nd Approach: Bottom Up dynamic programming

Lecture 190 Walkthrough behind pseudocode

Lecture 191 Implementing the code

Section 44: Facebook Dynamic Programming Question: Best Time To Buy And Sell Stocks (Easy)

Lecture 192 Explanation behind the problem

Lecture 193 Intuition behind the problem

Lecture 194 Walkthrough over pseudocode

Lecture 195 Optimal solution explanation

Lecture 196 Coding the solution

Section 45: Amazon Dynamic Programming Question: Climbing Stairs (Easy)

Lecture 197 Explaining the problem

Lecture 198 Intuition behind the problem

Lecture 199 Implementation the pseudocode

Lecture 200 Bottom up approach explanation

Lecture 201 Bottom up approach walkthrough

Lecture 202 Bottom up optimisation

Lecture 203 Code - Climbing Stairs

Section 46: Google Dynamic Programming Question: Coin Change (Medium)

Lecture 204 Explaining the problem

Lecture 205 Intuition behind the problem

Lecture 206 Pseudocode Implementation and optimisation

Lecture 207 Bottom up approach explanation

Lecture 208 Implementing the code

Section 47: Bloomberg Dynamic Programming Question: Unique Paths (Medium)

Lecture 209 Explaining the problem

Lecture 210 Pseudocode Implementation and walkthrough

Lecture 211 Implementing the code

Section 48: Microsoft Dynamic Programming Question: Longest Palindromic Substring (Medium)

Lecture 212 Explanation of the problem

Lecture 213 Initial Intuition behind the problem

Lecture 214 Optimising the previous solution

Lecture 215 Pseudocode Implementation

Lecture 216 Walkthrough over pseudocode

Lecture 217 Implementing the code

Section 49: Amazon Dynamic Programming Question: Trapping Rain Water (Hard)

Lecture 218 Explaining the problem

Lecture 219 Coding the implementation

Developers 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 technical interviews.,Students getting ready for their internship coding interviews.,People who want to get better at competitive programming

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