Mastering FastAPI: Building High-Performance Python Web Services: A Comprehensive Guide to Building High-Performance, Asynchronous, and Type-Safe Web

Publishing, Pythquill

ISBN 13: 9798289230706

Edité par Independently published, 2025

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N° de réf. du vendeur 50482904

Détails bibliographiques

• Titre: Mastering FastAPI: Building High-Performance Python Web Services: A Comprehensive Guide to Building High-Performance, Asynchronous, and Type-Safe Web
• Éditeur: Independently published
• Date de parution: 2025
• Langue: anglais
• ISBN à 13 chiffres: 9798289230706
• Reliure: Couverture souple
• État de l'article: As New

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Synopsis

What You Will Learn in This Book

• Master the fundamentals of FastAPI and modern API design, understanding the evolution of web services and why high-performance, developer-friendly frameworks like FastAPI are essential today.
• Set up an optimized FastAPI development environment, including virtual environments, essential tools, and recommended project structures for robust application development.
• Build powerful API endpoints by skillfully handling path and query parameters, processing diverse request bodies (JSON, form data, file uploads), and managing various response types.
• Implement robust data validation and serialization using Pydantic, ensuring data integrity for both incoming requests and outgoing responses.
• Leverage FastAPI's dependency injection system to manage shared logic, streamline authentication, and enhance the testability and modularity of your applications.
• Secure your APIs by integrating various authentication mechanisms like Basic Auth, OAuth2 with JWTs, and API keys, and apply essential security best practices.
• Handle errors and exceptions gracefully, customizing error responses and implementing effective strategies for a better user experience and easier debugging.
• Implement middleware to intercept and modify requests and responses, enabling functionalities like CORS, GZip compression, and custom request processing.
• Offload time-consuming tasks using FastAPI's built-in background tasks and understand when to integrate more robust solutions like Celery for asynchronous processing.
• Structure large-scale FastAPI applications using APIRouter and recommended architectural patterns for maintainability, scalability, and collaboration.
• Integrate and interact with various databases, including synchronous and asynchronous SQLAlchemy, ORMs like Tortoise ORM, and NoSQL databases like MongoDB.
• Write comprehensive tests for your FastAPI applications using pytest and TestClient, covering unit tests, integration tests, and dependency overrides.
• Explore advanced API features such as WebSockets for real-time communication, Server-Sent Events, and how to customize the OpenAPI schema for enhanced documentation.
• Optimize the performance of your FastAPI applications, identifying bottlenecks, applying caching strategies, and configuring Uvicorn/Gunicorn for maximum efficiency.
• Containerize your applications with Docker and Docker Compose, preparing them for consistent deployment across different environments.
• Strategically deploy your FastAPI APIs to cloud platforms, including PaaS, container orchestration services like Kubernetes, and serverless functions.
• Implement robust CI/CD pipelines using tools like GitHub Actions, automating testing, building, and deployment processes.
• Set up comprehensive monitoring, logging, and alerting for your production APIs, ensuring observability and quick response to issues.
• Navigate the broader FastAPI ecosystem of complementary libraries, community resources, and stay informed about future trends in API development.