Complete Coding Interview Prep In Python, Java And C++!

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Complete Coding Interview Prep In Python, Java And C++! - SKIKDA - 06-03-2023

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Published 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.71 GB | Duration: 12h 16m

Master Data Structures & Algorithms: Python, Java, C++ implementations, code visualization & LeetCode practice.

What you'll learn
Understand the fundamental concepts and principles of data structures and algorithms.
Gain proficiency in implementing data structures and Algorithms using Python, Java, and C++.
Develop a solid understanding of time and space complexity analysis.
Explore and apply various data structures such as arrays, hash maps, pointers, strings, linked lists, stacks, queues, binary trees, graphs, and tries.
Master essential algorithms including depth-first search (DFS), breadth-first search (BFS), search algorithms, backtracking, dynamic programming (DP), and greed
Utilize custom code execution visualization tools to enhance comprehension of complex concepts.
Strengthen problem-solving skills through practical exercises and LeetCode platform practice.
Apply data structures and algorithms to solve real-world programming challenges efficiently.
Enhance coding efficiency and optimize algorithm performance through time and space analysis.

Requirements
Computer and Internet Connection
No experience with data structures or algorithms needed
Basic understanding of any programming language
No previous computer science knowledge necessary

Description
Embark on a transformative journey into the realm of Data Structures and Algorithms with our comprehensive course. Designed to empower programmers of all levels, this course offers a rich learning experience in Python, Java, and C++ implementations. Delve into the art of efficient coding as you master the intricacies of Time Space Analysis. Gain a deep understanding of key topics including Arrays, Hashmaps, Pointers, Strings, Recursions, Stacks, Queues, Linked Lists, Binary Trees, Graphs, DFS, BFS, Search, Backtracking, DP, Greedy, and Tries. But it doesn't stop there. We believe in the power of visualization to unlock complex concepts. Our custom code execution visualization tool will immerse you in a dynamic learning experience, allowing you to witness the inner workings of algorithms in action. Say goodbye to confusion and embrace crystal-clear comprehension.As you progress, challenge yourself on the renowned LeetCode platform. Strengthen your problem-solving skills by tackling mind-bending coding problems that mirror real-world scenarios. LeetCode practice will prepare you for technical interviews, honing your abilities and boosting your confidence.Unlock your coding potential and elevate your skills to new heights. Enroll today in our Data Structures and Algorithms course, and become a master problem solver equipped to tackle any coding challenge that comes your way.

Overview
Section 1: Introduction to Course

Lecture 1 Introduction to Course Curriculum

Section 2: LeetCode #1 Qns. Two Sum (Array, Hash Table)

Lecture 2 Question Requirements

Lecture 3 Algorithm Explanation

Lecture 4 Time Space Analysis

Lecture 5 Python Solution

Lecture 6 Java Solution

Lecture 7 C++ Solution

Section 3: LeetCode #2 Qns. Group Anagrams (Array, Hash Table, String,Sorting)

Lecture 8 Question Requirements

Lecture 9 Algorithm Explanation

Lecture 10 Time Space Analysis

Lecture 11 Python Solution

Lecture 12 Java Solution

Lecture 13 C++ Solution

Section 4: LeetCode #3 Valid Palindrome (Pointers)

Lecture 14 Question Requirements

Lecture 15 Algorithm Explanation

Lecture 16 Time Space Analysis

Lecture 17 Python Solution

Lecture 18 Java Solution

Lecture 19 C++ Solution

Section 5: LeetCode #4 Contains Duplicates (HashSets, Arrays)

Lecture 20 Question Requirements

Lecture 21 Algorithm Explanation

Lecture 22 Time Space Analysis

Lecture 23 Python Solution

Lecture 24 Java Solution

Lecture 25 C++ Solution

Section 6: LeetCode #5 Valid Parenthesis (Stack, Array, String)

Lecture 26 Question Requirements

Lecture 27 Algorithm Explanation

Lecture 28 Time Space Analysis

Lecture 29 Python Solution

Lecture 30 Java Solution

Lecture 31 C++ Solution

Section 7: LeetCode #6 Fibonacci Number (Recursion)

Lecture 32 Question Requirements

Lecture 33 Algorithm Explanation

Lecture 34 Indepth Code execution example on Lalgo

Lecture 35 Time Space Analysis

Lecture 36 Python Solution

Lecture 37 Java Solution

Lecture 38 C++ Solution

Section 8: LeetCode #7 Same Tree (Binary Trees, Recursion)

Lecture 39 Question Requirements

Lecture 40 Tree Data Structure Explanation

Lecture 41 Algorithm Explanation

Lecture 42 Time Space Analysis

Lecture 43 Python Solution

Lecture 44 Java Solution

Lecture 45 C++ Solution

Section 9: LeetCode #8 Validate BST (Binary Tree, Recursion, Stacks)

Lecture 46 Question Requirements

Lecture 47 Intuition

Lecture 48 Recursive Approach Explanation

Lecture 49 Time Space Analysis

Lecture 50 Python Solution

Lecture 51 Java Solution

Lecture 52 C++ Solution

Lecture 53 Iterative Approach Explanation

Lecture 54 Time Space Analysis

Lecture 55 Python Solution

Lecture 56 Java Solution

Lecture 57 C++ Solution

Section 10: LeetCode #9 Reversed Linked List (Linked List, Recursion)

Lecture 58 Question Requirements

Lecture 59 Linked List explanation

Lecture 60 Algorithm Explanation

Lecture 61 Time Space Analysis

Lecture 62 Python Solution

Lecture 63 Java Solution

Lecture 64 C++ Solution

Section 11: LeetCode #10 Merge Two Sorted Lists (Linked List, Recursion)

Lecture 65 Question Requirements

Lecture 66 Algorithm Explanation

Lecture 67 Time Space Analysis

Lecture 68 Python Solution

Lecture 69 Java Solution

Lecture 70 C++ Solution

Section 12: LeetCode #11 Invert Binary Tree (Binary Tree, Recursion)

Lecture 71 Question Analysis

Lecture 72 Algorithm Explanation

Lecture 73 Time Space Anlaysis

Lecture 74 Python Solution

Lecture 75 Java Solution

Lecture 76 C++ Solution

Section 13: LeetCode #12 Search Insert Position (Binary Search)

Lecture 77 Question Requirements

Lecture 78 Wrong Approach

Lecture 79 Algorithm Explanation

Lecture 80 Time Space Analysis

Lecture 81 Python Solution

Lecture 82 Java Solution

Lecture 83 C++ Solution

Section 14: LeetCode #13 Sqrt(x) (Binary Search)

Lecture 84 Question Requirements

Lecture 85 Algorithm Explanation

Lecture 86 Time Space Analysis

Lecture 87 Python Solution

Lecture 88 Java Solution

Lecture 89 C++ Solution

Section 15: LeetCode #14 Minimum Depth of Binary Tree (BFS, DFS)

Lecture 90 Question Requirements

Lecture 91 BFS Algorithm Explanation

Lecture 92 Time Space Analysis

Lecture 93 Python Solution

Lecture 94 Java Solution

Lecture 95 C++ Solution

Lecture 96 DFS Algorithm Explanation

Lecture 97 Time Space Analysis

Lecture 98 Python Solution

Lecture 99 Java Solution

Lecture 100 C++ Solution

Section 16: LeetCode #15 Symmetric Tree (DFS, BFS)

Lecture 101 Question Requirements

Lecture 102 BFS Algorithm Explanation

Lecture 103 Time Space Analysis

Lecture 104 Python Solution

Lecture 105 Java Solution

Lecture 106 C++ Solution

Lecture 107 DFS Algorithm Explanation

Lecture 108 Time Space Analysis

Lecture 109 Python Solution

Lecture 110 Java Solution

Lecture 111 C++ Solution

Section 17: LeetCode #16 Binary Tree Inorder Traversal (DFS)

Lecture 112 Question Requirements

Lecture 113 Algorithm Explanation

Lecture 114 Time Space Analysis

Lecture 115 Python Solution

Lecture 116 Java Solution

Lecture 117 C++ Solution

Section 18: LeetCode #17 Clone Graph (Graphs, DFS)

Lecture 118 Question Requirements

Lecture 119 Graph Data Structure Concept Explanation

Lecture 120 Algorithm Explanation

Lecture 121 Time Space Analysis

Lecture 122 Python Solution

Lecture 123 Java Solution

Lecture 124 C++ Solution

Section 19: LeetCode #18 Number of Islands (Graph, DFS)

Lecture 125 Question Requirements

Lecture 126 Algorithm Explanation

Lecture 127 Time Space Analysis

Lecture 128 Python Solution

Lecture 129 Java Solution

Lecture 130 C++ Solution

Section 20: LeetCode #19 Max Area of Island (Graph, DFS)

Lecture 131 Question Analysis

Lecture 132 Algorithm Explanation

Lecture 133 Time Space Analysis

Lecture 134 Python Solution

Lecture 135 Java Solution

Lecture 136 C++ Solution

Section 21: LeetCode #20 Implement Queue Using Stacks

Lecture 137 Question Requirements

Lecture 138 Solution Explanation

Lecture 139 Time Space Analysis

Lecture 140 Python Solution

Lecture 141 Java Solution

Lecture 142 C++ Solution

Section 22: LeetCode #21 Implement Stack Using Queues

Lecture 143 Question Requirements

Lecture 144 Approach 1: 2 Queues Explanation

Lecture 145 Time Space Analysis

Lecture 146 Python Solution

Lecture 147 Java Solution

Lecture 148 C++ Solution

Lecture 149 Approach 2: 1 Queue Explanation

Lecture 150 Time Space Analysis

Lecture 151 Python Solution

Lecture 152 Java Solution

Lecture 153 C++ Solution

Section 23: LeetCode #22 Subsets (Backtracking, DFS)

Lecture 154 Question Requirements

Lecture 155 Algorithm Explanation

Lecture 156 Indepth Code execution example on Lalgo

Lecture 157 Time Space Analysis

Lecture 158 Python Solution

Lecture 159 Java Solution

Lecture 160 C++ Solution

Section 24: LeetCode #23 Subsets 2 (Backtracking, DFS)

Lecture 161 Question Requirements

Lecture 162 Algorithm Explanation

Lecture 163 Indepth Code execution example on Lalgo

Lecture 164 Time Space Analysis

Lecture 165 Python Solution

Lecture 166 Java Solution

Lecture 167 C++ Solution

Section 25: LeetCode #24 Permutations (Backtracking, DFS)

Lecture 168 Question Requirements

Lecture 169 Algorithm Explanation

Lecture 170 Indepth Code Execution Example on Lalgo

Lecture 171 Time Space Analysis

Lecture 172 Python Solution

Lecture 173 Java Solution

Lecture 174 C++ Solution

Section 26: LeetCode #25 Permutations II (Backtracking, DFS)

Lecture 175 Question Requirements

Lecture 176 Algorithm Explanation

Lecture 177 Indepth Code Execution Example on Lalgo

Lecture 178 Time Space Analysis

Lecture 179 Python Solution

Lecture 180 Java Solution

Lecture 181 C++ Solution

Section 27: LeetCode #26 Combination Sum (Backtracking, DFS)

Lecture 182 Question Requirements

Lecture 183 Algorithm Explanation

Lecture 184 Time Space Analysis

Lecture 185 Python Solution

Lecture 186 Java Solution

Lecture 187 C++ Solution

Section 28: LeetCode #27 Combination Sum 2 (DFS, Backtracking)

Lecture 188 Question Analysis

Lecture 189 Algorithm Explanation

Lecture 190 Time Space Analysis

Lecture 191 Python Solution

Lecture 192 Java Solution

Lecture 193 C++ Solution

Section 29: LeetCode #28 NQueens (Backtracking, DFS)

Lecture 194 Question Analysis

Lecture 195 Algorithm Explanation

Lecture 196 Time Space Analysis

Lecture 197 Python Solution

Lecture 198 Java Solution

Lecture 199 C++ Solution

Section 30: LeetCode #29 Climbing Stairs (Dynammic Programming, Memoization)

Lecture 200 Question Analysis

Lecture 201 Algorithm Explanation

Lecture 202 Time Space Analysis

Lecture 203 Python Solution

Lecture 204 Java Solution

Lecture 205 C++ Solution

Section 31: LeetCode #30 House Robber (Dynamic Programming, Memoization)

Lecture 206 Question Requirements

Lecture 207 Algorithm Explanation

Lecture 208 Time Space Analysis

Lecture 209 Python Solution

Lecture 210 Java Solution

Lecture 211 C++ Solution

Section 32: LeetCode #31 Jump Game (Greedy Algorithm, Dynamic Programming)

Lecture 212 Question Requirements

Lecture 213 Algorithm Explanation

Lecture 214 Time Space Analysis

Lecture 215 Python Solution

Lecture 216 Java Solution

Lecture 217 C++ Solution

Section 33: LeetCode #32 Candy (Greedy Algorithm)

Lecture 218 Question Requirements

Lecture 219 Algorithm Explanation

Lecture 220 Time Space Analysis

Lecture 221 Python Solution

Lecture 222 Java Solution

Lecture 223 C++ Solution

Section 34: LeetCode #33 Implement Trie (Trie)

Lecture 224 Question Requirements

Lecture 225 Algorithm Explanation

Lecture 226 Time Space Analysis

Lecture 227 Python Solution

Lecture 228 Java Solution

Lecture 229 C++ Solution

This course is designed for aspiring programmers, computer science students, software engineers, and anyone interested in strengthening their coding skills and understanding the underlying principles of data structures and algorithms. Whether you are a beginner looking to establish a strong foundation or an experienced developer aiming to sharpen your problem-solving abilities, this course is tailored to meet your needs.,The course content is valuable for individuals who want to gain proficiency in implementing data structures and algorithms using popular programming languages such as Python, Java, and C++. If you are eager to dive into the world of efficient coding and understand how to analyze the time and space complexity of your programs, this course will provide you with the necessary tools.

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