FastAPI

by Ramasamy Chandrasekaran

FastAPI Course Overview
A Modern Python Web Framework
Master FastAPI through 12 comprehensive modules covering everything from basics to deployment
Module 1: Intro & Hello World
  • Getting started with FastAPI
  • Setting up your development environment
  • Creating your first FastAPI application
  • Running "Hello World"
Module 2: Path & Query Parameters
  • Understanding URL path parameters
  • Working with query parameters
  • Parameter validation and types
  • Building dynamic routes
Module 3: Pydantic Models
  • Introduction to Pydantic for data validation
  • Creating request body models
  • Type hints and automatic validation
  • Working with complex data structures
Module 4: Responses & Validation
  • Response models and output validation
  • Status codes and error handling
  • Data shaping and serialization
  • Custom response types
Module 5: CRUD Operations
  • Create, Read, Update, Delete operations
  • In-memory database implementation
  • RESTful API design patterns
  • Managing application state
Module 6: Dependencies
  • Understanding dependency injection in FastAPI
  • Creating reusable dependencies
  • Security and authentication dependencies
  • Managing shared resources
Module 7: Authentication
  • JWT token-based authentication
  • Login and user verification
  • Protecting routes and endpoints
  • Password hashing and security best practices
Module 8: Background Tasks
  • Running tasks asynchronously
  • Email notifications and processing
  • Task queues and scheduling
  • Performance optimization
Module 9: Files & Streaming
  • File upload and download handling
  • Streaming responses
  • Working with large files
  • Media content management
Module 10: SQLModel
  • Async database operations with SQLModel
  • Database models and migrations
  • Query optimization
  • Production-ready database integration
Module 11: WebSockets
  • Real-time communication with WebSockets
  • Building a live chat application
  • Bidirectional data streaming
  • Managing WebSocket connections
Module 12: Deployment
  • Preparing your FastAPI app for production
  • Docker containerization
  • Cloud deployment strategies
  • Monitoring and maintenance
Next Steps
  • You've completed all 12 modules!
  • Practice with hands-on projects
  • Explore additional resources on the blog
  • Build your own FastAPI applications
CRUD FastAPI - Demo - In Memory
  • Overview of in-memory CRUD operations: Learn how to perform Create, Read, Update, and Delete actions directly within the application's memory.
  • Simple data storage without external database: Understand the benefits of transient data storage, ideal for development and temporary needs.
  • Perfect for prototyping and testing: Quickly build and iterate on features without the overhead of database setup.
  • Quick setup and implementation: Get started almost instantly, focusing on application logic rather than infrastructure.
  • Example use cases: Discover scenarios where in-memory solutions excel, such as caching, session management, or small, temporary datasets.
CRUD FastAPI - Demo - Real Database
  • Production-ready database integration: Learn how to connect FastAPI applications to robust, scalable databases suitable for live environments.
  • Persistent data storage: Understand how to store and retrieve data reliably, ensuring it remains available even after the application restarts.
  • Working with PostgreSQL/MySQL: Explore practical examples and best practices for interacting with popular relational database systems like PostgreSQL and MySQL.
  • Database connection management: Discover strategies for efficiently managing database connections to optimize performance and resource usage.
  • Real-world application patterns: Apply industry-standard architectural patterns for building resilient and maintainable data-driven FastAPI applications.
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