Tech Interview Handbook 📚💻

Curated collection of coding interview preparation materials, algorithms, and system design resources

🎯 Table of Contents

• Algorithms
• Data Structures
• System Design
• Behavioral
• Language Guides
• Practice Platforms
• Contributing
• License

🔢 Algorithms

Core Topics

• Big-O Cheatsheet
• Sorting Algorithms
• Dynamic Programming
• Graph Algorithms

Patterns

• Sliding Window
• Two Pointers
• Fast & Slow Pointers
• Merge Intervals
• Cyclic Sort

🧱 Data Structures

Structure	Best Use Case	Big-O
Array	Random access	O(1) access
Linked List	Frequent inserts/deletes	O(1) insert/delete
Hash Table	Key-value lookups	O(1) average
Binary Heap	Priority queues	O(log n) insert/extract
Trie	Prefix searches	O(L) search (L = word length)

🏗 System Design

• System Design Primer
• Design Patterns
• Scalability Guide
• CAP Theorem Explained

💬 Behavioral

Common Questions

• "Tell me about yourself"
• "Describe a challenge you faced"
• "Why do you want to work here?"

STAR Method

• Situation
• Task
• Action
• Result

⌨️ Language Guides

• Java Interview Guide
• Python Interview Prep
• JavaScript Questions

🏋️ Practice Platforms

1. LeetCode
2. HackerRank
3. CodeSignal
4. Pramp (Mock Interviews)

🤝 Contributing

Contributions welcome! Please see our contribution guidelines.

📜 License

MIT © [Ravik5]. See LICENSE for details.