Learn FastAPI - Python API
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CHF 1.00 · Entwickelt für iPad. Nicht für macOS überprüft.
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Master FastAPI, the modern, high-performance web framework. Built on Starlette and Pydantic, FastAPI delivers Node.js-level speed with Python's elegance. Whether you're new to backend development or leveling up your Python skills, this is your complete path to building production-ready APIs.
COMPLETE CURRICULUM — Learn Everything In One App
FastAPI Foundations:
- What is FastAPI? — Why it's the fastest Python framework, ASGI vs WSGI, OpenAPI standards
- Installation & First App — FastAPI + Uvicorn setup, your first endpoint in 5 minutes
- Path Operations — Routes, GET/POST/PUT/DELETE, decorators, JSON responses
- Interactive API Docs — Automatic Swagger UI & ReDoc documentation
- Understanding Async — async/await, concurrency, non-blocking I/O explained simply
Routing & Data Handling:
- Path Parameters — Typed URL variables with automatic validation
- Query Parameters — Filtering, sorting, pagination with defaults
- Request & Response Models — Headers, cookies, JSON, status codes
- Pydantic Data Validation — Type-safe schemas, automatic error handling, BaseModel
Advanced FastAPI Patterns:
- Async Programming — High-performance patterns, concurrency, background tasks
- Dependency Injection — Reusable dependencies, sub-dependencies, scopes
- Middleware — CORS, custom hooks, request/response interceptors
- Database Integration — SQLAlchemy, SQLModel, relational database patterns
- NoSQL Databases — MongoDB, Redis caching, document & key-value stores
Security & Production:
- Security Hardening — Best practices for production API protection
- API Versioning — Version strategies, deprecation, lifecycle management
- GraphQL with FastAPI — Strawberry integration, queries, mutations
DevOps & Real-World Deployment:
- API Gateways — Nginx, Traefik, reverse proxies, load balancing
- DevOps & Deployment — Docker, CI/CD, cloud deployment strategies
- Real Production Systems — Scalability, monitoring, logging
- Data Engineering — ETL pipelines, analytics APIs
- AI/ML Integration — Serve machine learning models with FastAPI endpoints
Related Libraries & Tools:
- SQLAlchemy — Python SQL toolkit and ORM
- PostgreSQL — Advanced relational database integration
- MongoDB — NoSQL document database with FastAPI
- Redis — In-memory caching, sessions, queues
- Docker — Containerize and deploy FastAPI applications
- Pytest — Testing framework for Python APIs
- Git & GitHub — Version control and collaboration
- AsyncIO — Asynchronous I/O and event loops
- WebSockets — Real-time bidirectional communication
CODE PLAYGROUND — Practice What You Learn:
- Write and execute Python code on your device
- Syntax highlighting and error detection
- FastAPI, Pydantic, and async templates built-in
- Save code snippets for later reference
AI TUTOR — Your 24/7 Learning Assistant:
- Ask any FastAPI or Python backend question
- Debug code with step-by-step AI explanations
- Get Pydantic schema recommendations
- Personalized learning path suggestions
GAMIFIED LEARNING — Stay Motivated:
- Daily learning streaks with fire animations
- XP points & level progression
- Personal learning statistics & progress tracking
POWERFUL ORGANIZATION TOOLS:
- Bookmarks: Save lessons for quick access
- Notes: Write personal notes on any lesson
- Code Snippets: Store reusable Python blocks
- Search: Find anything instantly across all lessons
- Dark mode for comfortable night coding
LEARN OFFLINE — Anytime, Anywhere:
- All content are offline access
- Study on your commute without internet
- Perfect for learning on planes, trains, or remote areas
PERFECT FOR:
- Aspiring Backend Developers
- Python developers moving to web/APIs
- Data scientists serving ML models
- Frontend developers going full-stack
- Students learning server-side Python
- Career changers entering tech
- Self-taught learners wanting structure
- Interview preparation for Python backend roles
Start building high-performance Python APIs today !
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Das Entwicklungsteam, Shahbaz Khan, hat darauf hingewiesen, dass die Datenschutzrichtlinien der App den unten stehenden Umgang mit Daten einschließen können. Weitere Informationen findest du in den Datenschutzrichtlinien des Entwicklungsteams .
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- Shahbaz Khan
- Größe
- 187.7 MB
- Kategorie
- Bildung
- Kompatibilität
Erfordert iOS 17 oder neuer.
- iPhone
Erfordert iOS 17 oder neuer. - iPad
Erfordert iPadOS 17 oder neuer. - Mac
Erfordert macOS 14.0 (oder neuer) und einen Mac mit Apple M1-Chip (oder neuer). - Apple Vision
Erfordert visionOS 1.0 oder neuer.
- iPhone
- Sprachen
- Englisch
- Altersfreigabe
9+
- 9+
- Copyright
- © Shahbaz Khan
