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docs: Adjust tone to be educational and community-focused
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README.md

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# 🏗️ Interactive System Design Masterclass
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# 🏗️ System Design Patterns & Python Implementation
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![Build Status](https://github.com/Fleonex-dev/System-Design/actions/workflows/ci.yml/badge.svg)
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![Python](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue)
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> **"Show, Don't Just Tell."**
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> A hands-on, code-first course to master scalable systems, tailored for Senior Engineering Interviews.
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> A personal collection of verifiable, code-first System Design patterns.
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Most System Design resources are static diagrams. This repository aims to make these concepts **executable** to understand how they actually work under the hood.
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I built this to educate myself on **Race Conditions**, **Database Sharding**, **Consistent Hashing**, and **Distributed Transactions** by simulating them in Python.
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Most System Design resources are static diagrams. This repository is **executable**.
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We simulate **Race Conditions**, **Database Sharding**, **Consistent Hashing**, **LLM Inference**, and **Distributed Transactions** right in your terminal.
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* **Recommender Systems**: **Two-Tower Architecture** (YouTube/Netflix style).
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* **RAG Deep Dive**: Vector Indexing (HNSW), Chunking strategies, and Embeddings.
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### 4. ⚔️ The Interview Gauntlet (15+ Real Questions)
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We answer the most frequent "Big Tech" interview questions with **Bad (Naive)** vs **Optimal (Scaled)** code implementations.
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### 4. ⚔️ Interview Prep & Experiments
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A set of common interview questions implemented with both "Naive" (Bad) and "Optimal" (Scaled) approaches to demonstrate the difference.
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| Component | The "Naive" Way (Fail) | The "Optimal" Way (Pass) |
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| :--- | :--- | :--- |
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*Built for Engineers, by Engineers.*
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*Created for self-education and shared for the community.*

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