Complete FastAPI Mastery course

Discover fast api's speed and simplicity while learning how it handles different request types and data. Use swagger ui for interactive, real-time testing of endpoints and automatic documentation.

Master path parameters in FastAPI to create dynamic endpoints and route requests by product id. See how integer declarations enable automatic validation and data integrity.

Order specific routes before dynamic ones to prevent misrouting, and use enums to constrain device type in paths for robust FastAPI API design.

Master nested routes in FastAPI by using a full file path as a path parameter, retrieving markdown content from a docs directory, and handling missing files with 404 errors.

Decode how query parameters in FastAPI enable filtering, searching, and sorting through key-value pairs after the url’s question mark, with examples of encoding and multiple parameters.

Explore crafting dynamic urls in FastAPI by building a simple product browser with an in-memory database, using query parameters for offset and range, and setting default values for optional parameters.

Master optional query parameters in FastAPI by combining path and query parameters, using examples like book id and optional q to filter results and build dynamic endpoints.

Explore how fastapi automatically validates request body data against a space probe model, using a post endpoint to submit identifier, mission, velocity, and fuel level via JSON.

Explore integrating path, query, and body parameters in a single FastAPI endpoint, updating a space probe record and validating fuel status via Swagger UI.

Build a mock digital library API with FastAPI, using a title path parameter and optional author and genre query parameters to search for books.

Create a custom FastAPI endpoint with a unique feature, such as jokes, weather updates, or a to-do list, and learn through creative, practical experimentation.

Create a simple FastAPI endpoint that returns a JSON joke based on a category parameter. Explore approaches, such as connecting to an API, and test with Swagger docs via uvicorn.

Explore the basics of FastAPI, focusing on various parameter types and how query and request body parameters define how a web app receives and processes data.

Master request handling in FastAPI by tuning query parameters, validating strings, and processing body parameters, then model nesting and practical exercises to build cohesive APIs.

Explore query parameters in FastAPI to filter restaurant recommendations by cuisine and vegetarian options. See how optional string and boolean parameters shape endpoints and deliver dynamic results.

Explore string validations in fast api by enforcing alphanumeric usernames 5 to 10 characters using pydantic models and regex. See how input validation and error handling safeguard the api.

Master handling request body parameters in FastAPI by using a Pydantic model for a gif with type, color, and size, and validating inputs to return precise responses or errors.

Define and validate FastAPI body fields with Pydantic models, enforcing required fields and string constraints like min and max length, and observe error handling for missing or invalid data.

Learn to model and handle nested data in fast api by building a family tree with person and family models, including parents and children.

Practice request handling in FastAPI by building an events API with post and get endpoints, using query parameters, string validations, and nested models to filter by date, type, and location.

Design a simple FastAPI data endpoint by defining a pedantically rigorous data model, applying string validations for data integrity, and using query parameters for filtering and sorting.

Create a simple data endpoint with FastAPI to submit time capsule items, validate email and message, store items in memory, and simulate sending emails on the specified send date.

Explore the FastAPI landscape by revisiting query parameters, string validations, and body handling with pydantic models and nested models for robust API design.

Explore FastAPI fundamentals through a garden metaphor, mastering data types, cookies and headers, form data, file uploads, and refined responses, then apply and recap the journey.

Explore FastAPI data types like strings, numbers, and dates, and learn how type annotations enable validation of path and query parameters.

Explore cookies and headers in FastAPI to manage sessions, authenticate users, and customize responses. Learn to read cookies, set response headers, and filter items by user preference.

Apply data handling and crafting responses in a bookstore api with fastapi, validate optional query parameters, and simulate a fake database to see real-world data workflows.

Develop practical fastapi skills by building and expanding a simple api endpoint that handles requests, crafts clear responses, and suggests books by genre, using greetings and typed inputs.

Build a simple FastAPI API response that calculates days until the next birthday from a date of birth string, with error handling for invalid formats returning a 400 error.

Recap essential FastAPI concepts: data types, cookies and headers, form data and file uploads, and crafting user-friendly, efficient API responses for real-world applications.

Explore robust fast API error handling, from custom error responses to catching unexpected issues, and master advanced techniques, Json encoders, and API design with tags and summaries, plus practical exercises.

Learn robust error handling in FastAPI by building a library borrowing feature, raising HTTP exceptions for not found and already borrowed books, and guiding users with clear feedback.

Explore enhanced error handling in FastAPI with custom handlers and pattern-based debugging, illustrated by a library return feature and precise status codes.

Configure clear path operations in FastAPI by building a trips API with get listing and post booking, using tags, summaries, and descriptions for well documented endpoints.

Learn how FastAPI uses JSON encoders to update user home design preferences by translating color schemes and materials into a JSON-compatible payload and persisting in a mock database.

Practice implementing advanced error handling in a FastAPI booking system with custom exception handlers, input validation, and clear messages for invalid ids and duplicate bookings.

Practice error handling and json encoding in FastAPI by modeling complex data with Pydantic and using a json encoder to return json compatible spacecraft details.

Build custom error handling in a FastAPI travel and ticket booking API for World Cup matches by defining custom exceptions and handlers for sold-out games, invalid bookings, and system errors.

Master custom error handling in a FastAPI app for booking soccer travels tickets. Use a custom API exception, exception handler, and status codes to validate matches and handle sold-out scenarios.

Master FastAPI error handling, custom error responses, and advanced scenarios, configure path operations with tags and descriptions, and explore json encoders via the World Soccer Travels API.

Explore dependencies as the internal transport system of your fast API, driving versatility and security, then study Oauth2, JWT tokens, and practical exercises to secure endpoints.

Explore fast api dependencies and the depends injection system to build a modular, testable login flow using a user model, mock database, and authentication handling.

Master class based dependencies in fast api by building a user authenticator with a mock database, validating credentials via a login endpoint, and orchestrating modular sub dependencies for scalable authentication.

learn to secure a fastapi app with oauth2 password flow, issuing bearer access tokens and protecting endpoints like /users/me, including token verification, 401 errors, and mock user storage.

Master oauth2 in a fastapi workflow by generating and testing access tokens for valid credentials, inspecting protected endpoints, and using swagger to manage bearer tokens.

Learn to implement JWT tokens in FastAPI, creating and encoding access tokens with a secret key and HS256, setting a 30-minute expiry, and validating tokens for secure access.

Generate and validate a jwt access token for a protected users me endpoint, detailing token payload, expiration, decoding with a secret key and error handling for invalid credentials or tokens.

Start a FastAPI server, generate a bearer JWT token from valid credentials, and access the protected users/me endpoint. Fix the token decode handling and implement JWT security in FastAPI.

Learn to build a secure FastAPI app by implementing dependencies for user authentication, creating and validating JWT access tokens with HS256, setting token expiry, and hashing passwords.

Implement a FastAPI authentication flow with a get current user dependency, bearer token validation, JWT decoding, and a protected /users/me route that returns the current user.

Learn to secure a FastAPI app by generating and validating JWT tokens via the token endpoint, then access protected user data through the /users/me endpoint using authenticated requests.

Secure an API endpoint in FastAPI using JWT token authentication, with tests and dependency injection for verify_token to protect routes, as part of the practical security challenge.

Learn to secure an API endpoint with JWT authentication in FastAPI, granting access only to valid tokens and showcasing responses for valid and invalid credentials.

Review the dependencies and security concepts in FastAPI, from building blocks to oauth2 and jwt tokens, and apply them by designing a secure api endpoint.

Explore database integration for FastAPI by connecting to SQL databases with robust, secure links, and build a database-driven API endpoint through hands-on practice.

Connect FastAPI to PostgreSQL using SQLAlchemy, exploring ORM and SQL expression language; build a simple book records app with async engine and declarative base.

Define a sql alchemy book model with a pedantic book schema, and implement async endpoints to create and fetch books using a get db session dependency.

Learn to structure a growing FastAPI app with routers, modularizing into book and user modules, wiring them in main.py, and exposing get books and add book endpoints.

Learn to structure a FastAPI project with modular user, book, and API routers, create sample data, and test endpoints using uvicorn.

Transition to a secure Postgres database with SQLAlchemy in FastAPI, organizing code into main.py, routers, models, schemas, and database.py, and implementing per-request sessions and CRUD for books and users.

Build a fastapi backend by implementing CRUD for books and users with sql alchemy orm, including models, schemas, and database sessions, and configure a postgres database engine.

Launch a modular FastAPI app by separating concerns for file handling, routing, and database interactions, then test data persistence with Postgres via uvicorn and Swagger UI.

Apply FastAPI and database integration to build a database-driven API endpoint with PostgreSQL, SQLAlchemy, and Pydantic validation, including CRUD operations and proper responses.

Implement a FastAPI transportation router with post and get endpoints to add, update, and retrieve public transit routes, including route name, transport type, and schedule.

Explore testing a FastAPI post endpoint to create and fetch a transit route by id. Learn how a database driven application programming interface supports city management and public transit information.

Recap how to integrate databases with fast API using PostgreSQL and SQLAlchemy, structure large apps with modular routers, and apply crud operations for data driven web applications.

Explore middleware interface API and how basic middleware handles requests, responses, authentication, and data processing in FastAPI applications, with hands-on design exercises.

Implement basic middleware in fast api to log request method, URL, and duration, and measure response time to monitor data flow in the application.

Implement middleware in a FastAPI app to log client IPs and request processing time, start-up events, and a test route, enabling security monitoring and performance insights.

design and implement custom middleware in a fast API application to improve security, logging, and user session management, test its impact, and enhance analytics and overall functionality.

Integrate FastAPI middleware with a Postgres database to log each request, compute per-url metrics like average response time and request count, and visualize performance trends.

Run a FastAPI server with Uvicorn, verify middleware logs api usage data, and validate logging of url, method, response time, and timestamp while computing average response time and request count.

Explore the middleware ecosystem in FastAPI and see how logging, custom middleware, and database insights keep applications secure, scalable, and robust.

Learn to handle multiple file uploads in FastAPI by validating file types, securely saving to temporary and permanent storage, and implementing robust error handling with http exceptions.

Practice testing FastAPI file uploads by validating file types, handling errors, and storing files securely, as you verify endpoints return 200 for valid uploads and 400 for disallowed types.

Learn how to serve static files with FastAPI by mounting images, css, and javascript directories from a structured static folder, enabling efficient delivery and improved user experience.

Develop practical mastery of FastAPI file handling by building image upload and static file serving endpoints. Mount uploaded images, list their URLs, and test the workflow in a real-world project.

Develop a full-scale file management system with upload, listing, deletion, and serving of static files, plus secure storage organization and rigorous validation.

Develops a FastAPI based file management solution for a photography studio with upload endpoints that check file type and size, enabling secure, high-volume uploads, date-based categorization, and potential ai tagging.

Review the core file handling concepts in FastAPI, including file uploads, type validation, secure, efficient upload processes, serving static files, and a photography studio-tailored file management system.

Explore testing and debugging in FastAPI, covering unit, integration, and functional testing, debugging techniques, and frameworks and tools to build robust, reliable web applications.

Master unit testing in FastAPI by building a test client, validating routes with a hello world response, and checking error handling for invalid input.

Explore debugging techniques in FastAPI using logging and breakpoints to diagnose issues. Use a debug endpoint to observe requests and responses in a development environment with uvicorn.

Stitch together testing and debugging to build robust, error-free fast api applications. Explore unit, integration, and functional tests, debugging tools, logging, and systematic problem solving.