Theme3 - Enterprise-Level Backend Developer

🏗️ 50-Day Python Enterprise Backend Challenge

🐍 Phase 1: Advanced Python Foundation (Day 1–10)

• Day 1: Set up Python3.12, Poetry for Dependency Management.

• Day 2: OOP Advanced — SOLID Principles explained with Python examples.

• Day 3: Design Patterns (Singleton, Factory, Repository Pattern).

• Day 4: Generators, Coroutines, Async/Await in Depth.

• Day 5: Type Hinting and mypy (static analysis in Python).

• Day 6: Logging Advanced (structlog or python-json-logger).

• Day 7: Write First Python CLI using click or typer.

• Day 8: Error Handling and Retry Patterns.

• Day 9: Build a simple project using Clean Architecture.

• Day 10: Git Workflows (feature branching, PRs, rebasing).

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🗄️ Phase 2: SQLAlchemy, Alembic, PostgreSQL (Day 11–20)

• Day 11: Install Postgres, create databases/tables.

• Day 12: Raw SQL → Python Code (connect via asyncpg).

• Day 13: SQLAlchemy Core vs ORM Overview.

• Day 14: Create SQLAlchemy Models (Blog Example).

• Day 15: Relationships (1-N, N-N) with SQLAlchemy.

• Day 16: Alembic Setup (first migration, revision, upgrade).

• Day 17: Auto-generate Alembic Migrations.

• Day 18: Versioned Schema Management (Real-World Migrations).

• Day 19: Async SQLAlchemy ORM Models + AsyncSession.

• Day 20: Database Seeding Scripts.

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🚀 Phase 3: FastAPI + Async + Real APIs (Day 21–35)

• Day 21: Install FastAPI + Uvicorn, async Hello World.

• Day 22: API Endpoints: GET, POST, PATCH, DELETE.

• Day 23: CRUD for Blog App with SQLAlchemy.

• Day 24: Services Layer vs Repository Layer Pattern.

• Day 25: Dependency Injection Advanced (Database Session).

• Day 26: JWT Auth Full Flow (Login, Refresh, Protected Routes).

• Day 27: Permissions (Roles: User, Admin, SuperAdmin).

• Day 28: Pagination (limit/offset pattern).

• Day 29: Full-text Search API.

• Day 30: Data Validation Rules (Pydantic Validators).

• Day 31: Error Management with Global Exception Handlers.

• Day 32: Background Tasks in FastAPI (e.g., sending emails).

• Day 33: Custom Response Classes (Streaming Large Files).

• Day 34: Rate Limiting (IP based).

• Day 35: Health Check APIs (/health, /metrics).

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🔥 Phase 4: Redis, Celery, Message Queues (Day 36–45)

• Day 36: Install Redis locally + connect via Python (redis-py).

• Day 37: FastAPI + Redis Cache Example (cache API responses).

• Day 38: Understand Message Queues (RabbitMQ, Redis Streams).

• Day 39: Set up Celery with Redis as Broker.

• Day 40: Async Tasks with Celery (background email sender).

• Day 41: Scheduled Periodic Jobs with Celery Beat.

• Day 42: Monitor Tasks with Flower Dashboard.

• Day 43: Retry Policies and Error Queues in Celery.

• Day 44: Dead Letter Queues Concept.

• Day 45: Building a Task-Oriented Microservice (Celery Workers + FastAPI Producer).

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🏛️ Phase 5: Deployments + Monitoring (Day 46–50)

• Day 46: Dockerize FastAPI + Postgres + Redis + Celery (Docker Compose).

• Day 47: Add Nginx Reverse Proxy (SSL Termination Basics).

• Day 48: Set Up CI/CD GitHub Actions: Test + Build + Deploy.

• Day 49: Prometheus + Grafana Setup to Monitor FastAPI (metrics scraping).

• Day 50: Final Capstone Project: Build a Production-Ready Backend:

  • FastAPI

  • Async SQLAlchemy

  • Alembic

  • Redis Cache

  • Celery Background Tasks

  • Fully Dockerized

  • GitHub Actions CI/CD

  • Monitored by Grafana/Prometheus

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💡 Key Technologies:

• Python 3.12

• FastAPI (Async Mode)

• SQLAlchemy ORM (AsyncSession)

• Postgres

• Alembic Migrations

• Redis (Cache and Broker)

• Celery Workers

• Docker & Docker Compose

• Nginx

• Prometheus & Grafana

• GitHub Actions for CI/CD