A comprehensive collection of Data Structures, Algorithms, Modern JavaScript Features, UI Components, and Polyfills - everything needed for full-stack JavaScript development and interview preparation.
- LeetCode Top Interview 150 - Complete interview preparation
- LeetCode SQL 50 - Database fundamentals
- LeetCode Graph Theory - Graph algorithms mastery
- NeetCode 150 - Curated coding problems
- LeetCode - Primary coding interview platform
- HackerRank - Programming challenges
- CodeSignal - Technical assessments
- Pramp - Mock interviews
- Cracking the Coding Interview - Essential interview book
- Algorithm Visualizer - Visual algorithm learning
- Big-O Cheat Sheet - Time/space complexity reference
- JavaScript Algorithms - Algorithm implementations
- Google Interview Process - Google hiring guide
- Meta Interview Prep - Meta technical interviews
- Amazon Leadership Principles - Amazon behavioral interviews
- System Design Primer - System design interviews
Complete JavaScript Mastery/
βββ Vanilla JavaScript Coding/
β βββ Basic Array Transformations/
β βββ Classes/
β βββ Closures/
β βββ Function Transformations/
β βββ Promises and Time/
βββ Vanilla JS UI Components/ # 36 production-ready components
βββ Array/ # Array manipulation problems
βββ Backtracking/ # Recursive exploration algorithms
βββ Binary Search/ # Search algorithms and variants
βββ Dynamic Programming/ # Optimization problems
βββ Graph/ # Graph traversal and algorithms (32 problems)
βββ Hashmap/ # Hash table based solutions
βββ Heaps/ # Priority queue problems
βββ Intervals/ # Interval merging and scheduling
βββ Line Sweep/ # Event-based interval processing
βββ Linked List/ # Pointer manipulation problems
βββ Man in the Middle/ # Two-pointer convergence patterns
βββ Matrix/ # 2D array problems
βββ Queue/ # FIFO data structure problems
βββ Sliding Window/ # Window-based optimization
βββ SQL/ # Database queries and operations (50 problems)
βββ Stack/ # LIFO data structure problems
βββ String/ # String processing algorithms (advanced patterns)
βββ Top Interview 150/ # Complete LeetCode interview preparation
βββ Tree/ # Tree traversal and manipulation
βββ Trie/ # Prefix tree problems
βββ Two Pointers/ # Dual pointer techniques
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
- Basic search, boundary finding, rotated arrays
- Search space optimization, 2D matrices
- Answer space binary search with feasibility checks
- 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
- 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
- Palindrome checks, array reversal
- Two-pointer convergence, water trapping
- Dutch flag sorting, duplicate removal
- Interval merging, meeting room scheduling
- Event processing, skyline problems
- Capacity constraints, intersection finding
- SELECT queries, joins, aggregations
- Subqueries, window functions, string operations
- Database design and optimization
- 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
- 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
- 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
- Easy: 120+ problems (Basic operations, simple patterns)
- Medium: 180+ problems (Complex logic, optimization)
- Hard: 50+ problems (Advanced algorithms, multiple concepts)
- Easy: 50 problems (33%) - Foundation building
- Medium: 75 problems (50%) - Core interview topics
- Hard: 25 problems (17%) - Advanced problem solving
npm install// Problem description and approach
const solution = (input) => {
// Minimal implementation
};
// Test Cases
console.log(solution(testInput)); // expected output# Direct execution
npx ts-node "JavaScript Coding/TaskQueue.ts"
# Or compile and run
npm run build
node dist/JavaScript\ Coding/TaskQueue.js-- Problem description
SELECT column1, column2
FROM table1
WHERE condition;- 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
- Foundation (Week 1-2): Top Interview 150 - Array, String, Two Pointers
- Core Structures (Week 3-4): Stack, Queue, Linked List, Trees
- Algorithms (Week 5-6): Binary Search, Sliding Window, Backtracking
- Advanced (Week 7-8): Dynamic Programming, Graphs, Advanced Topics
- Pattern Recognition: Man in the Middle, Line Sweep
- String Algorithms: KMP, Rabin-Karp, Z Algorithm
- Graph Theory: All 32 problems across 6 categories
- Database Skills: Complete SQL 50 study plan
- Polyfills Mastery: All 27 polyfills (Promise, Array, Object, String methods)
- UI Components: 36 production-ready components
- ES6+ Features: Classes, modules, async/await, destructuring
- Browser Compatibility: Legacy support with modern features
- Beginner: Easy problems from each category
- Intermediate: Medium problems + pattern recognition
- Advanced: Hard problems + optimization techniques
- Expert: All advanced algorithms + system design
- 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
- LeetCode Top Interview 150: β Complete (150/150)
- LeetCode SQL 50: β Complete (50/50)
- LeetCode Graph Study Plan: β Complete (32/32)
- Advanced String Algorithms: β Complete (6/6)
- JavaScript Polyfills: β Complete (27/27)
- UI Components: β Complete (36/36)
- 350+ Problems: Comprehensive coverage
- Pattern Mastery: 20+ algorithmic patterns
- Interview Ready: Top company question coverage
- Optimal Solutions: Best time/space complexity
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)
- 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
- 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.