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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fastapi-for-developers/
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课程名称：FastAPI：构建、验证、认证、部署 Python API 课程概述：欢迎参加 Uplatz 的 FastAPI 课程。FastAPI 是一个现代的高性能网络框架，适用于使用 Python 3.7+ 及标准 Python 类型提示快速构建 API。该框架旨在高效且以最少代码创建 RESTful API，同时提供自动验证、序列化和交互式文档。 FastAPI 构建在以下技术之上： - Starlette：用于 web 部分（路由、中间件等） - Pydantic：用于数据验证和设置管理 FastAPI 工作原理： - Python 类型提示：FastAPI 使用 Python 的类型提示自动生成请求解析、验证和响应序列化。 - 异步支持：完全支持 async 和 await，适合构建非阻塞的高并发应用。 - 自动生成文档：使用 OpenAPI 自动生成交互式 API 文档（Swagger UI 和 ReDoc）。 FastAPI 的主要特点： - 快速性能：异步框架，性能接近 Node.js 和 Go。 - Pythonic 直观：利用 Python 3.7+ 的类型提示，代码清晰可读。 - 自动数据验证：Pydantic 确保所有传入数据匹配声明的类型和模式。 - 交互式 API 文档：内置的 Swagger UI 和 ReDoc 接口自动生成。 - 依赖注入系统：简化复杂的依赖管理。 - 与数据库轻松集成：支持 SQLAlchemy、Tortoise ORM 和异步数据库库。 - 安全与认证支持：内置的 OAuth2、JWT 等认证工具。 - 可扩展和模块化：适用于单体应用和微服务架构。 - 生产级应用：被 Uber、Netflix 和微软等公司广泛使用。 课程大纲： - 模块 1：介绍与基础，了解 FastAPI 及开发环境设置。 - 模块 2：路由与参数，探讨不同的路由方法。 - 模块 3：使用 Pydantic 进行数据验证，了解各种验证技术。 - 模块 4：请求体与表单数据，掌握 JSON 请求体、表单数据及文件上传。 - 模块 5：响应与状态码，构建响应模型并处理序列化及自定义响应头。 - 模块 6：错误处理，学习基本的错误处理技巧及自定义异常。 - 模块 7：API 开发项目，创建基本 API 开发项目。 - 模块 8：数据库集成，使用 SQLAlchemy 与 FastAPI 进行 CRUD 操作。 - 模块 9：认证，实施简单的安全认证及基于 JWT 的认证系统。 - 模块 10：动手项目，开发待办事项 API 和书籍管理系统 API。 - 模块 11：总结与实践，复习常见问题并强化学习。 学习 FastAPI 的好处： - 高性能，快速执行，适合高并发应用。 - 现代设计，便于未来维护和使用。 - 自动验证与序列化，提高开发效率。 - 交互式文档，提升开发者体验。 - 提升 Python 技能，增强就业竞争力。 - 建立项目组合，快速创建可展示的真实应用。 FastAPI 拥有活跃的社区、出色的文档及丰富的教程和插件，助力开发者快速成长与解决问题。
A warm welcome to the FastAPI: Build, Validate, Authenticate, Deploy Python APIs course by Uplatz.FastAPI is a modern, high-performance web framework for building APIs with Python 3.7+ using standard Python type hints. It's designed to create RESTful APIs quickly, efficiently, and with minimal code, while providing automatic validation, serialization, and interactive documentation out of the box.It's built on top of:Starlette → for the web parts (routing, middleware, etc.)Pydantic → for data validation and settings managementHow Does FastAPI Work?Python Type Hints: FastAPI uses Python's type hints to automatically generate request parsing, validation, and response serialization.Async Support: It fully supports async and await, making it great for building non-blocking, high-concurrency applications.Auto-generated Docs: FastAPI auto-generates interactive API docs using OpenAPI (Swagger UI and ReDoc) - without extra work.Declarative Approach: You define what data is expected, and FastAPI handles parsing, validation, error responses, and docs generation behind the scenes.Key Features of FastAPIFast Performance → Asynchronous framework with performance close to Node.js and Go.Pythonic and Intuitive → Leverages Python 3.7+ type hints for clear, readable, and concise code.Automatic Data Validation → Pydantic ensures all incoming data matches declared types and schemas.Interactive API Documentation → Built-in Swagger UI and ReDoc interfaces auto-generated from code.Dependency Injection System → Makes complex dependency management clean and easy.Easy Integration with Databases → Supports tools like SQLAlchemy, Tortoise ORM, and async DB libraries.Security and Auth Support → Includes built-in tools for OAuth2, JWT, and other authentication flows.Extensible and Modular → Works well in both monolithic apps and microservice architectures.Great for Production → Actively used by companies like Uber, Netflix, and Microsoft for production APIs.FastAPI - Course CurriculumModule 1: Introduction and FoundationsGetting StartedIntroduction and primer to FastAPI. Setting up the development environment and understanding the framework's core philosophy.Module 2: Routing and ParametersRouting and Parameters (Part 1)Explore different routing methods using hands-on examples.Routing and Parameters (Part 2)Deep dive into path parameters, query parameters, and input validations.Module 3: Data Validation with PydanticData Validation with Pydantic (Part 1)Learn types of data validations using Pydantic models with hands-on practice.Data Validation with Pydantic (Part 2)Explore advanced validation techniques and custom validators.Module 4: Request Bodies and Form DataRequest Bodies and Form Data (Part 1)Work with JSON request bodies, form data, and file uploads.Request Bodies and Form Data (Part 2)Continue hands-on exploration of multipart requests and complex data inputs.Module 5: Responses and Status CodesResponse Models and Status Codes (Part 1)Build response models with Pydantic V2 and handle serialization.Response Models and Status Codes (Part 2)Understand HTTP status codes and apply custom response headers.Response Models and Status Codes (Part 3)Define response schemas and auto-generate API documentation.Module 6: Error HandlingError Handling (Part 1)Learn basic error handling techniques with practical examples.Error Handling (Part 2)Implement custom exceptions and global error handlers.Error Handling (Part 3)Combine strategies into best practice error management patterns.Module 7: API Development ProjectBasic API Development TutorialCreate a basic API development project, from planning to execution.Module 8: Database IntegrationDatabase IntegrationIntegrate FastAPI with databases using SQLAlchemy and perform CRUD operations.Advanced Database OperationsHandle relationships, joins, transactions, and optimizations in database interactions.Module 9: AuthenticationBasic AuthenticationImplement simple authentication techniques for securing endpoints.JWT Authentication using FastAPIBuild robust JWT-based authentication and authorization systems.Module 10: Hands-on ProjectsTo-Do List ProjectBuild a functional to-do list API with full CRUD capabilities.Simple Book Management APIDevelop a book management system API with real-world features.Module 11: Wrap-up and PracticeCommon Questions and AnswersReview common developer questions and reinforce learning with practice exercises.Benefits of Learning FastAPIHigh Performance, Fast ExecutionFastAPI is one of the fastest Python frameworks, thanks to its asynchronous support, making it ideal for scalable, high-concurrency applications.Modern, Future-Proof DesignBuilt for Python 3.7+, FastAPI leverages modern Python features like type hints and async/await, aligning with current and future development best practices.Automatic Validation and SerializationWith Pydantic integration, FastAPI offers powerful, automatic data validation and serialization, reducing bugs and significantly cutting development time.Interactive, Auto-Generated DocumentationFastAPI automatically generates professional, interactive API documentation using OpenAPI (Swagger) and ReDoc, with no extra configuration needed.Ease of Use and Developer ProductivityIts intuitive, declarative style allows developers to write less boilerplate code and focus on solving core problems, improving overall productivity.Strong Ecosystem IntegrationFastAPI easily connects with tools like SQLAlchemy, background tasks, OAuth2/JWT authentication, GraphQL, and WebSockets, supporting a wide range of use cases.Asynchronous Support Out of the BoxUnlike many older frameworks, FastAPI fully supports asynchronous programming, making it excellent for microservices, real-time systems, and API-heavy architectures.Scalable and Production-ReadyUsed by companies like Uber, Netflix, and Microsoft, FastAPI is trusted in production environments, meaning the skills you gain are directly applicable to industry needs.Improves Python SkillsLearning FastAPI deepens your understanding of advanced Python features, including type hints, async programming, and dependency injection.Opens Career OpportunitiesAs FastAPI's popularity grows, demand is rising for developers skilled in building high-performance APIs, giving you an edge in job markets and freelance projects.Project Portfolio BoostBy building hands-on projects, you'll quickly create real-world applications to showcase on GitHub or in interviews, strengthening your developer portfolio.Community and ResourcesFastAPI has a vibrant, supportive community, excellent documentation, and a rich ecosystem of tutorials and plugins to help you grow and troubleshoot effectively.
