algorithms: A C++ repository from imteekay

Algorithms & Data Structures Introduction 🎥 Algorithms and Data Structures Tutorial 🎥 Data Structures and Algorithms in JavaScript 🎥 Introduction to Algorithms 🎥 Python Algorithms for Interviews 📝 Introduction of Data Structure and algorithm 📝 Top 10 algorithms in interview questions 📝 Useful links about algorithms Big-O notation and design 🎥 Big O Notation w/ Gayle 🎥 Design and Analysis of Algorithms — MIT 💻 Big O 📝 Know your complexities: Big-O cheat sheet 📝 Big O in DS 📝 Computational complexity part one 📝 Computational complexity part two Data Structures 🎥 Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer 💻 Data Structures and Algorithms cheat sheet 📝 What is Data Structure? Stack 📝 Stack Data Structure in JavaScript 📝 Stack Data Structure Practice Problems 📝 Stack Data Structure Queues 📝 Queue Data Structure in JavaScript 📝 Queue Data Structure 📝 Queue Data Structure Linked Lists 🎥 Linked Lists for Technical Interviews 📝 Linked Lists Data Structure in JavaScript 📝 Linked Lists Data Structure 📝 Linked Lists Data Structure Trees 🎥 Binary Tree Algorithms for Technical Interviews 📝 Tree Data Structure 📝 Tree Data Structure Graphs 🎥 Breadth First Search & Depth First Search 🎥 Graph Algorithms for Technical Interviews 🎥 Graph data structure — Part 1 🎥 Graph data structure — Part 2 🎥 Graph Search Algorithms in 100 Seconds 📝 Depth First Search 📝 Graph in Data Structure Algorithms 🎥 Problem Patterns 🎥 Programação Dinamica 📝 3 Tricks To Master Linked List Problems 📝 3 Tricks To Master String Problems 📝 5 Tricks To Solve Any Interval/Conflict Schedule Related Problems 📝 Coding Patterns - Backtracking 📝 Coding Patterns - BFS 📝 Coding Patterns - DFS 📝 Coding Patterns - Dynamic Programming 📝 Coding Patterns - Mono-Stack 📝 Coding Patterns - Presum, Greedy, intervals 📝 Coding Patterns - Sliding Window, 2 Pointer, String 📝 Coding Patterns - UnionFind, Devide And Conquer, Toposort 📝 Coding Patterns — Binary Search, Trie, Heap 📝 Find Kth Largest/Smallest Element Without Sorting 📝 Grokking LeetCode: A Smarter Way to Prepare for Coding Interviews 📝 Let's implement a Bloom Filter 📝 Master 2D matrix/maze traversal 📝 Recursive descent parsing Coding Interviews Build the the foundation by learning the fundamental algorithms and data structures: Fundamental Algorithms Sorting Merge Sort Quick Sort Bucket Sort Heap Sort Counting Sort Searching Binary Search Tree Depth First Search Tree Breadth First Search Graph Depth First Search Graph Breadth First Search Dynamic Programming String / Array: reverse Linked list: insertion, deletion Fundamental Data Structures Stack Queue Linked List Hash Map Heap Priority Queue Tree Binary Search Tree AVL Tree Red-Black Tree Segment Tree Fenwick Tree (Binary Indexed Tree) Graph Time & Space Complexity Space complexity for all algorithms / data structures Runtime complexity for all algorithms / data structures Make comparisons between algorithms and data structures Preparation 🎥 10 Common Coding Interview Problems 🎥 8 Most Popular Microsoft Coding Interview Questions Solved Step by Step 🎥 Crack Your Dream Tech Interviews 🎥 Data Structures and Algorithms in Java | Free course | Animations and Implementations 🎥 Google's Career Page - Interview Tips 🎥 How to Crack The Coding Interview? | Important LeetCode Questions | Preparation Tips 🎥 How To Study For Coding Interviews Efficiently 🎥 Joining the Uber Eng Team - Coding Interview 📝 3-month plan for Cracking the Coding Interview 📝 Algorithm Problem Solving 📝 Algorithm Template 📝 Amazon's Interview Guide 📝 Before the interview 📝 Blind Curated 75 📝 Brian Bi considerations 📝 Build a Solid Foundation – The Complete Guide to Google Interview Preparation 📝 Build a Solid Foundation – The Complete Guide to Google Interview Preparation 📝 Coding Interview Prep Guide 📝 Crack The Coding Interview Spreadsheet - Leetcode 📝 Deliberate practice coding interviews 📝 Don’t Study 500 LeetCode Problems, Do This Instead 📝 Facebook Interview Guide 📝 From Zero to Hero in Problem Solving 📝 Get an Interview with Google – The Complete Guide to Google Interview Preparation 📝 Google devtip: DS & Algorithms 📝 Google devtip: Interview Prep 📝 Google devtip: Software Engineering Principles 📝 Google Interview Guide 📝 Google Interview Preparation 📝 How I build a habit to leetcode 📝 How to Land a Front-end Software Engineer job at Big Tech Companies such as Google, Facebook, and Twitter 📝 How to study Data Structures and Algorithms while working a full-time job? 📝 knock a technical interview 📝 Meta's Career Page - Interview Prep 📝 Microsoft's Interview Guide 📝 Must Do Easy Questions 📝 Must Do Medium Questions 📝 Prep by elliotbot 📝 Programming Interview Questions 📝 Recruiter's view 📝 Software Engineer interview preparation 📝 System Design 📝 Taejun's preparation 📝 The ultimate guide to preparing for the coding interview Interview 🎥 Google Coding Interview 📝 A “strong yes” technical interview. 📝 Green flags in a interview Platforms to learn Cracking the Coding Interview Binary Search InterviewBit algorithms course Leetcode Patterns Scaler Topics Structy Leetcode algoexpert Competitive Programming Codeforces Hacker Rank SPOJ BR Timus UCoder URI Online Judge UVa Online Judge Computer Science Computing 🎥 Software as Computational Media 🎥 Tools & Craft: Andy Matuschak - Software and Computing Theory 🎥 A Uniﬁed Theory of Garbage Collection 📝 Computer Organization - Performance 📝 Computer Organization | Performance of Computer Courses 🎥 Intro to Theoretical Computer Science 🎥 MIT 6.042J Mathematics for Computer Science 🎥 MIT 6.006 Introduction to Algorithms 🎥 MIT 6.046J Design and Analysis of Algorithms License MIT © TK

imteekay/algorithms

Algorithms & Data Structures

Introduction

Big-O notation and design

Data Structures

Stack

Queues

Linked Lists

Trees

Graphs

Algorithms

Coding Interviews

Preparation

Interview

Platforms to learn

Competitive Programming

Computer Science

Computing

Theory

Courses

License