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🏗️ 50-Day Python Backend Developer Challenge (Production-Ready Theme)

📚 Phase 1: Advanced Python Foundations (Day 1–10)

• Day 1: Python Setup, Virtualenv, Poetry/Pipenv.

• Day 2: Data Structures Deep Dive (List, Dict, Set, Tuple – Advanced Patterns).

• Day 3: Functions + Decorators + Context Managers.

• Day 4: Classes and Magic Methods (__str__, __repr__, __getitem__, etc).

• Day 5: Async Programming in Python (asyncio, await, async def).

• Day 6: Logging Setup (logging module) for projects.

• Day 7: Python Packaging (create your own simple library).

• Day 8: Unit Testing with pytest.

• Day 9: Exception Handling Best Practices.

• Day 10: Git + GitHub Basics: create your first repo, PRs.

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🗄️ Phase 2: Database Mastery (Day 11–20)

PostgreSQL + Async

• Day 11: PostgreSQL Setup, psql CLI usage.

• Day 12: Write SQL: Joins, Aggregates, Subqueries.

• Day 13: Postgres with Python using asyncpg / SQLAlchemy Async.

• Day 14: ORM Basics: SQLAlchemy ORM, models, sessions.

• Day 15: Build database models for Blog Application.

MongoDB + Async

• Day 16: MongoDB Atlas Setup (Cloud DB).

• Day 17: Basic MongoDB CRUD from Python using Motor (Async driver).

• Day 18: Design MongoDB schema for a Notifications app.

• Day 19: Indexes, TTLs in MongoDB.

• Day 20: Differences between MongoDB vs Postgres — when to choose what.

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🚀 Phase 3: FastAPI Backend Engineering (Day 21–35)

• Day 21: FastAPI Async Server Setup (Uvicorn).

• Day 22: Routes, Query Parameters, Path Variables.

• Day 23: Request Body + Validation using Pydantic.

• Day 24: Dependency Injection (DB Sessions, Auth Guards).

• Day 25: CRUD API for Blog App (Postgres Backend).

• Day 26: CRUD API for Notifications App (MongoDB Backend).

• Day 27: Authentication using OAuth2 Password Flow.

• Day 28: JWT Token Creation and Validation.

• Day 29: API Rate Limiting (basic concept + FastAPI simple limiter).

• Day 30: Build Background Tasks (FastAPI background tasks).

Real Backend Features

• Day 31: Pagination, Filtering, Sorting.

• Day 32: Error Handling and Custom Exceptions.

• Day 33: Response Caching Basics (fastapi-cache2).

• Day 34: Logging Middleware for FastAPI.

• Day 35: Automated API Docs (Swagger + Redoc).

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🛠️ Phase 4: DevOps and CI/CD (Day 36–45)

• Day 36: Docker Basics (build Python app inside container).

• Day 37: Docker Compose (Postgres + FastAPI project).

• Day 38: Create Dockerfile for FastAPI.

• Day 39: Write Docker Compose file for full stack (FastAPI + Postgres + MongoDB).

• Day 40: Unit Testing FastAPI endpoints with pytest + httpx.

• Day 41: Integration Testing Postgres/MongoDB interactions.

• Day 42: Write a GitHub Actions YAML to run tests automatically.

• Day 43: Configure .env and secure settings in deployment.

• Day 44: Deploy FastAPI app to Render/ Fly.io.

• Day 45: Monitor logs and errors using Sentry or Logtail.

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🧠 Phase 5: Real-World Projects (Day 46–50)

• Day 46: Project 1: URL Shortener API (PostgreSQL backend).

• Day 47: Project 2: Async Notifications API (MongoDB backend).

• Day 48: Project 3: Pandas CSV Upload and Analysis API.

• Day 49: Dockerize and Deploy all projects.

• Day 50: Build a Portfolio GitHub Repo showcasing your APIs + Deployment Links!

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📋 Core Tools Covered:

• Python (Advanced)

• PostgreSQL (Async CRUD)

• MongoDB (Motor async CRUD)

• Pandas (CSV Handling)

• FastAPI (Full Backend)

• Docker & Docker Compose

• CI/CD GitHub Actions

• JWT Authentication

• Unit and Integration Testing

• Real Deployments (Render, Railway, Fly.io)