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A comprehensive collection of Data Structures and Algorithms implemented in JavaScript, organized by problem patterns and categories.

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Complete JavaScript Mastery

A comprehensive collection of Data Structures, Algorithms, Modern JavaScript Features, UI Components, and Polyfills - everything needed for full-stack JavaScript development and interview preparation.

πŸ”— Quick Links

πŸ“š Study Plans

🎯 Practice Platforms

πŸ“– Learning Resources

🏒 Company Interview Guides


πŸ“ Structure

Complete JavaScript Mastery/
β”œβ”€β”€ Vanilla JavaScript Coding/ 
β”‚   β”œβ”€β”€ Basic Array Transformations/
β”‚   β”œβ”€β”€ Classes/
β”‚   β”œβ”€β”€ Closures/
β”‚   β”œβ”€β”€ Function Transformations/
β”‚   └── Promises and Time/
β”œβ”€β”€ Vanilla JS UI Components/  # 36 production-ready components
β”œβ”€β”€ Array/                     # Array manipulation problems
β”œβ”€β”€ Backtracking/             # Recursive exploration algorithms
β”œβ”€β”€ Binary Search/            # Search algorithms and variants
β”œβ”€β”€ Dynamic Programming/      # Optimization problems
β”œβ”€β”€ Graph/                    # Graph traversal and algorithms (32 problems)
β”œβ”€β”€ Hashmap/                  # Hash table based solutions
β”œβ”€β”€ Heaps/                    # Priority queue problems
β”œβ”€β”€ Intervals/                # Interval merging and scheduling
β”œβ”€β”€ Line Sweep/               # Event-based interval processing
β”œβ”€β”€ Linked List/              # Pointer manipulation problems
β”œβ”€β”€ Man in the Middle/        # Two-pointer convergence patterns
β”œβ”€β”€ Matrix/                   # 2D array problems
β”œβ”€β”€ Queue/                    # FIFO data structure problems
β”œβ”€β”€ Sliding Window/           # Window-based optimization
β”œβ”€β”€ SQL/                      # Database queries and operations (50 problems)
β”œβ”€β”€ Stack/                    # LIFO data structure problems
β”œβ”€β”€ String/                   # String processing algorithms (advanced patterns)
β”œβ”€β”€ Top Interview 150/        # Complete LeetCode interview preparation
β”œβ”€β”€ Tree/                     # Tree traversal and manipulation
β”œβ”€β”€ Trie/                     # Prefix tree problems
└── Two Pointers/             # Dual pointer techniques

🎯 Problem Categories

πŸ† Top Interview 150 (Complete LeetCode Study Plan)

All 150 essential coding interview problems organized by patterns:

  • Array & String (24): Merge operations, stock trading, text processing
  • Two Pointers (5): Palindromes, container problems, sum variants
  • Sliding Window (4): Substring optimization, window techniques
  • Matrix (5): 2D traversal, rotation, game simulations
  • Hashmap (9): Frequency counting, anagram grouping, caching
  • Intervals (4): Merging, scheduling, optimization
  • Stack (5): Expression evaluation, path simplification
  • Linked List (11): Reversal, merging, cycle detection
  • Binary Trees (21): Traversal, construction, path problems
  • Graphs (9): DFS/BFS, topological sort, connectivity
  • Backtracking (7): Permutations, combinations, constraint satisfaction
  • Dynamic Programming (14): 1D/2D optimization, subsequences
  • Binary Search (7): Search variants, rotated arrays
  • Advanced Topics (29): Heaps, tries, bit manipulation, math

πŸ” Specialized Pattern Collections

Binary Search (25+ problems)

  • Basic search, boundary finding, rotated arrays
  • Search space optimization, 2D matrices
  • Answer space binary search with feasibility checks

Graph Algorithms (32 problems)

  • Standard Traversal (8): DFS/BFS fundamentals, connectivity
  • BFS Applications (7): Shortest path, level processing
  • Matrix Graphs (5): Island problems, boundary analysis
  • Graph Theory (5): Bipartite, validation, ranking
  • Union Find (4): Disjoint sets, component merging
  • Topological Sort (3): DAG ordering, dependency resolution

Advanced String Algorithms (6 problems)

  • KMP Algorithm: Linear pattern matching with failure function
  • Rabin-Karp: Rolling hash for efficient string search
  • Z Algorithm: Linear time pattern detection
  • String Matching: Performance comparison of algorithms
  • Rolling Hash: Foundation for hash-based string operations

Man in the Middle (8 problems)

  • Palindrome checks, array reversal
  • Two-pointer convergence, water trapping
  • Dutch flag sorting, duplicate removal

Line Sweep (8 problems)

  • Interval merging, meeting room scheduling
  • Event processing, skyline problems
  • Capacity constraints, intersection finding

SQL Database (50 problems)

  • SELECT queries, joins, aggregations
  • Subqueries, window functions, string operations
  • Database design and optimization

πŸš€ Key Features

Algorithm & Data Structure Mastery

  • Complete Interview Prep: Full LeetCode Top Interview 150 collection
  • Pattern-Based: Problems grouped by algorithmic patterns
  • Advanced Algorithms: KMP, Rabin-Karp, Z Algorithm, Union Find
  • SQL Mastery: Complete SQL 50 study plan
  • Graph Expertise: 32 comprehensive graph problems

Modern JavaScript Development

  • 27 Polyfills: Complete ES5-ES2020+ feature coverage
  • 36 UI Components: Production-ready vanilla JavaScript components
  • Modern Features: Classes, async/await, modules, destructuring
  • Browser Compatibility: IE8+ support with modern feature polyfills

Production Ready

  • Minimal Code: Most concise, readable implementations
  • Test Cases: Multiple test cases for verification
  • Optimal Solutions: Time and space efficient algorithms
  • Real-world Applications: UI components for actual projects

πŸ“Š Problem Difficulty Distribution

Overall Collection (350+ problems)

  • Easy: 120+ problems (Basic operations, simple patterns)
  • Medium: 180+ problems (Complex logic, optimization)
  • Hard: 50+ problems (Advanced algorithms, multiple concepts)

Top Interview 150 Breakdown

  • Easy: 50 problems (33%) - Foundation building
  • Medium: 75 problems (50%) - Core interview topics
  • Hard: 25 problems (17%) - Advanced problem solving

πŸ”§ Usage

Setup TypeScript Support

npm install

JavaScript Solutions

// Problem description and approach
const solution = (input) => {
  // Minimal implementation
};

// Test Cases
console.log(solution(testInput)); // expected output

TypeScript Solutions

# Direct execution
npx ts-node "JavaScript Coding/TaskQueue.ts"

# Or compile and run
npm run build
node dist/JavaScript\ Coding/TaskQueue.js

SQL Solutions

-- Problem description
SELECT column1, column2
FROM table1
WHERE condition;

Quick Navigation

  • Interview Prep: Start with Top Interview 150/
  • Modern JS: Explore 30 Days of JavaScript/Polyfills/
  • UI Development: Browse Vanilla JS UI Components/
  • Specific Patterns: Browse by algorithm type
  • Database Skills: Complete SQL/ folder
  • Advanced Topics: Graph/, String/ advanced algorithms

πŸ“ˆ Learning Path

🎯 Interview Preparation Track (Recommended)

  1. Foundation (Week 1-2): Top Interview 150 - Array, String, Two Pointers
  2. Core Structures (Week 3-4): Stack, Queue, Linked List, Trees
  3. Algorithms (Week 5-6): Binary Search, Sliding Window, Backtracking
  4. Advanced (Week 7-8): Dynamic Programming, Graphs, Advanced Topics

πŸ”¬ Algorithm Mastery Track

  1. Pattern Recognition: Man in the Middle, Line Sweep
  2. String Algorithms: KMP, Rabin-Karp, Z Algorithm
  3. Graph Theory: All 32 problems across 6 categories
  4. Database Skills: Complete SQL 50 study plan

🌐 Modern JavaScript Track

  1. Polyfills Mastery: All 27 polyfills (Promise, Array, Object, String methods)
  2. UI Components: 36 production-ready components
  3. ES6+ Features: Classes, modules, async/await, destructuring
  4. Browser Compatibility: Legacy support with modern features

πŸ“Š Difficulty Progression

  • Beginner: Easy problems from each category
  • Intermediate: Medium problems + pattern recognition
  • Advanced: Hard problems + optimization techniques
  • Expert: All advanced algorithms + system design

πŸŽ“ Interview Preparation

🏒 Company-Specific Preparation

  • FAANG: Complete Top Interview 150 + Graph algorithms
  • Startups: Focus on practical problems (Array, String, Hash)
  • Finance: Math, optimization, and SQL problems
  • Big Tech: Advanced algorithms + system design

πŸ“š Study Plans Included

  • LeetCode Top Interview 150: βœ… Complete (150/150)
  • LeetCode SQL 50: βœ… Complete (50/50)
  • LeetCode Graph Study Plan: βœ… Complete (32/32)
  • Advanced String Algorithms: βœ… Complete (6/6)
  • JavaScript Polyfills: βœ… Complete (27/27)
  • UI Components: βœ… Complete (36/36)

🎯 Success Metrics

  • 350+ Problems: Comprehensive coverage
  • Pattern Mastery: 20+ algorithmic patterns
  • Interview Ready: Top company question coverage
  • Optimal Solutions: Best time/space complexity

πŸ† Achievement Unlocked

Complete JavaScript Mastery - Ready for:

  • Senior Software Engineer interviews (DSA + Modern JS)
  • Full-stack development (UI components + polyfills)
  • Legacy browser support (27 comprehensive polyfills)
  • Competitive programming (Advanced algorithms)
  • Technical leadership roles (Complete ecosystem knowledge)

🎯 What's Included

πŸ“Š Numbers That Matter

  • 350+ DSA Problems - Complete interview preparation
  • 27 JavaScript Polyfills - ES5 to ES2020+ coverage
  • 36 UI Components - Production-ready implementations
  • 50 SQL Problems - Database mastery
  • 32 Graph Algorithms - Advanced graph theory

πŸ”§ Perfect For

  • Coding Interviews - FAANG and top tech companies
  • Modern Web Development - Full-stack JavaScript projects
  • Legacy Browser Support - Enterprise applications
  • Competitive Programming - Algorithm contests
  • Learning & Teaching - Comprehensive educational resource

Complete ecosystem for JavaScript developers - from algorithms to production applications.

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A comprehensive collection of Data Structures and Algorithms implemented in JavaScript, organized by problem patterns and categories.

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