Welcome to Questions100
Questions100 is your comprehensive guide to mastering the most frequently asked coding interview questions. This collection includes 100 carefully curated problems covering AI, Machine Learning, and Cybersecurity topics, complete with detailed solutions, complexity analysis, and practical applications.What You’ll Find Here
100 Curated Problems
High-frequency interview questions organized by category and difficulty
17 Problem Categories
From Arrays and Trees to Dynamic Programming and Graphs
Detailed Solutions
Python implementations with time/space complexity analysis
Real-World Applications
See how these algorithms apply to production systems
Key Features
Comprehensive Problem Coverage
Comprehensive Problem Coverage
Each problem includes:
- Complete problem description with constraints
- Multiple test cases with explanations
- Optimal Python solution with comments
- Time and space complexity analysis
- Alternative approaches when applicable
Real-World Context
Real-World Context
Every problem connects to practical applications:
- Named systems and platforms (AWS, PostgreSQL, Redis)
- Specific security tools (Snort, Splunk, Wireshark)
- Production use cases and scenarios
Interview-Ready
Interview-Ready
Prepare effectively with:
- Study plans organized by week
- Common pitfalls and edge cases
- Interview tips and strategies
- Frequency ratings for prioritization
Interactive Visualizations
Interactive Visualizations
Explore problems through:
- 3D graph visualization of problem relationships
- Category-based browsing interface
- Search and filter capabilities
Problem Statistics
21 Easy
Foundation-building problems
63 Medium
Core interview challenges
16 Hard
Advanced problem-solving
Quick Start
Choose Your Path
Start with study plans for structured learning, or dive into problem categories to focus on specific topics.
Understand the Problem
Read the problem description, constraints, and examples carefully before attempting a solution.
Analyze & Solve
Study the optimal solution, understand the complexity analysis, and implement it yourself.
Popular Problem Categories
Array & Hashing
Two Sum, Subarray Sum, Hash Map patterns
Trees & BST
Binary Tree, BST, Tree Traversal problems
Dynamic Programming
Optimal substructure and memoization
Graphs & DFS/BFS
Graph traversal and shortest path algorithms
Why Questions100?
This resource was created to bridge the gap between theoretical algorithm knowledge and practical interview preparation. Each problem has been carefully selected based on interview frequency data and enhanced with real-world context to help you understand not just how to solve problems, but why these patterns matter in production systems.
Ready to Begin?
Start with Quickstart
Get oriented with the most important problems
Browse All Problems
Explore the complete problem set
Source Repository: sparktsao/Questions100 Happy Learning! 🚀