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
• 🎥 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
• BFE.dev

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