Learn FastAPI - Python API

Éducation

USD 0.99 · Conçue pour iPad. Non validée pour macOS.

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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Bug Fixes..

Le développeur Shahbaz Khan a indiqué que les pratiques de l’app en matière de confidentialité peuvent inclure le traitement des données tel que décrit ci‑dessous. Pour en savoir plus, consultez la politique de confidentialité du développeur .

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    Fournisseur
    • Shahbaz Khan
    Taille
    • 187,7 Mo
    Catégorie
    • Éducation
    Compatibilité
    Nécessite iOS 17 ou version ultérieure.
    • iPhone
      Nécessite iOS 17 ou version ultérieure.
    • iPad
      Nécessite iPadOS 17 ou version ultérieure.
    • Mac
      Nécessite macOS 14.0 ou une version ultérieure et un Mac doté d’une puce Apple M1 ou une version ultérieure.
    • Apple Vision
      Nécessite visionOS 1.0 ou version ultérieure.
    Langues
    • Anglais
    Copyright
    • © Shahbaz Khan