📂 API Design Roadmap
┃
┣ 📂 Foundations
┃ ┣ 📂 What is an API?
┃ ┣ 📂 HTTP & HTTPS Fundamentals
┃ ┣ 📂 Request & Response Lifecycle
┃ ┣ 📂 JSON & Data Formats
┃ ┗ 📂 API Design Principles
┃
┣ 📂 REST API Design
┃ ┣ 📂 REST Architecture
┃ ┣ 📂 Resources & Endpoints
┃ ┣ 📂 HTTP Methods (GET, POST, PUT, DELETE, PATCH)
┃ ┣ 📂 Status Codes
┃ ┗ 📂 REST Best Practices
┃
┣ 📂 API Documentation
┃ ┣ 📂 OpenAPI Specification
┃ ┣ 📂 Swagger UI
┃ ┣ 📂 API Reference Documentation
┃ ┣ 📂 Examples & SDKs
┃ ┗ 📂 Versioned Documentation
┃
┣ 📂 Authentication & Authorization
┃ ┣ 📂 API Keys
┃ ┣ 📂 JWT Authentication
┃ ┣ 📂 OAuth 2.0 & OpenID Connect
┃ ┣ 📂 Role-Based Access Control (RBAC)
┃ ┗ 📂 Token Management
┃
┣ 📂 API Security
┃ ┣ 📂 HTTPS & TLS
┃ ┣ 📂 CORS Configuration
┃ ┣ 📂 CSRF & XSS Protection
┃ ┣ 📂 Rate Limiting & Throttling
┃ ┗ 📂 Input Validation & Sanitization
┃
┣ 📂 Advanced API Architectures
┃ ┣ 📂 GraphQL
┃ ┣ 📂 gRPC
┃ ┣ 📂 WebSockets
┃ ┣ 📂 Server-Sent Events (SSE)
┃ ┗ 📂 Event-Driven APIs
┃
┣ 📂 API Performance
┃ ┣ 📂 Pagination
┃ ┣ 📂 Filtering & Sorting
┃ ┣ 📂 Caching Strategies
┃ ┣ 📂 Compression
┃ ┗ 📂 Performance Optimization
┃
┣ 📂 API Reliability
┃ ┣ 📂 Error Handling
┃ ┣ 📂 Retry Strategies
┃ ┣ 📂 Idempotency
┃ ┣ 📂 Circuit Breaker Pattern
┃ ┗ 📂 Health Checks
┃
┣ 📂 API Testing
┃ ┣ 📂 Unit Testing
┃ ┣ 📂 Integration Testing
┃ ┣ 📂 Postman & Insomnia
┃ ┣ 📂 Load Testing
┃ ┗ 📂 Contract Testing
┃
┣ 📂 API Deployment
┃ ┣ 📂 API Gateways
┃ ┣ 📂 Reverse Proxies
┃ ┣ 📂 Docker & Containers
┃ ┣ 📂 CI/CD Pipelines
┃ ┗ 📂 Cloud Deployment
┃
┣ 📂 Monitoring & Observability
┃ ┣ 📂 Logging
┃ ┣ 📂 Metrics Collection
┃ ┣ 📂 Distributed Tracing
┃ ┣ 📂 Prometheus & Grafana
┃ ┗ 📂 API Analytics
┃
┣ 📂 AI-Powered APIs
┃ ┣ 📂 OpenAI API Integration
┃ ┣ 📂 Function Calling
┃ ┣ 📂 Streaming Responses
┃ ┣ 📂 AI Agent APIs
┃ ┗ 📂 Cost & Token Optimization
┃
┣ 📂 Real-World Projects
┃ ┣ 📂 Authentication API
┃ ┣ 📂 E-commerce REST API
┃ ┣ 📂 Payment Gateway API
┃ ┣ 📂 AI Chat API
┃ ┗ 📂 Microservices API Platform
┃
┣ 📂 Practice & Growth
┃ ┣ 📂 Build Public APIs
┃ ┣ 📂 Contribute to API Projects
┃ ┣ 📂 Write API Documentation
┃ ┣ 📂 API Design Reviews
┃ ┗ 📂 Interview Preparation
┃
┗ 📂 Career & Monetization
┣ 📂 Backend Engineer Roles
┣ 📂 API Platform Engineer
┣ 📂 SaaS Development
┣ 📂 API Consulting & Freelancing
┗ 📂 Continuous Learning

👉 Follow this consistently for 2–4 months and you'll be able to design, build, secure, and scale production-ready APIs with confidence.

🧠 DSA Topics You Should Learn in Order

Confused about what to learn in DSA? Follow this order and build your concepts step by step 👨‍💻🔥

🟢 Foundation

1. Time & Space Complexity ⏱️
• Understand Big O notation
• Learn how to analyze your solutions

2. Arrays & Strings 📦
• Master traversal, searching and basic manipulation
• Practice two pointers and sliding window

3. Recursion & Backtracking 🔄
• Understand recursive thinking
• Solve subsets, permutations and combination problems

🟡 Core Data Structures

4. Linked Lists 🔗
• Learn singly and doubly linked lists
• Practice reversal and cycle problems

5. Stacks & Queues 📚
• Understand LIFO and FIFO
• Learn monotonic stack and deque patterns

6. Hashing #️⃣
• Use hash maps and hash sets effectively
• Solve frequency and lookup-based problems

🔴 Advanced

7. Trees & Graphs 🌳
• Learn traversals, BFS and DFS
• Move towards harder graph problems

8. Heaps & Priority Queues ⛰
• Understand heap operations
• Practice top-K and scheduling problems

9. Dynamic Programming 🧩
• Start with 1D and 2D DP
• Gradually move to more complex patterns

10. Greedy & Advanced Algorithms ⚡️
• Learn greedy strategies, binary search and important algorithmic patterns

💡 Don't rush into advanced topics. Strong fundamentals make DSA much easier.

💾 Save this roadmap and follow it step by step.

@Coding_interview_preparation

Sorting Algorithms Summary

🚫 5 Mistakes Beginners Make While Learning Coding

Learning to code is not just about writing more code. Avoiding these mistakes can save you months of frustration 👨‍💻⚡️

1. Learning Too Many Languages 🔄
• Jumping between Python, C++, Java and JavaScript
• Master one language before moving to another

2. Watching Tutorials Without Practicing 📺
• Tutorials feel productive, but passive learning isn't enough
• Write the code yourself and solve problems without copying

3. Trying to Learn Everything at Once 🧠
• DSA, Web Dev, AI, Cloud, Cybersecurity...
• Pick one direction and build a strong foundation first

4. Avoiding Projects 🛠
• Completing courses without building anything
• Projects help you turn concepts into real skills

5. Giving Up When You Get Stuck 😵‍💫
• Getting errors and not knowing the solution is normal
• Learn to debug, search documentation and understand the problem

💡 You don't need to know everything. You just need to keep improving.

📌 Save this if you're learning to code.

System Design Concepts You Need to Master If I Wanted to Crush it.

1.Consistent Hashing
2.Sharding
3.CAP Theorem
4.Quorum Consensus
5.Leader Election
6.Raft & Paxos
7.Gossip Protocol
8.Vector Clocks
9.Load Shedding
10.Circuit Breakers
11.Backpressure
12.Tail Latency Reduction
13.Bloom Filters
14.HyperLogLog
15.Reservoir Sampling
16.Split-Brain Resolution

@coding_interview_preparation