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Build modern backend applications

Python is widely used for backend development, and FastAPI has become one of the most popular frameworks for building modern web APIs. It combines Python’s simplicity with high performance, automatic validation, and interactive documentation, making it an excellent choice for developing production-ready backend services.

What you’ll learn

Throughout this section, you’ll build a REST API from scratch while learning the core concepts of FastAPI:
  1. Set up FastAPI – Install FastAPI, Uvicorn, and create your first application
  2. Build API endpoints – Work with routes, HTTP methods, and parameters
  3. Handle request and response data – Validate data using Pydantic models
  4. Explore API documentation – Use Swagger UI and ReDoc to test and understand your APIs
  5. Develop structured APIs – Organize applications using routers and modular code
By the end of this section, you’ll be able to create well-structured REST APIs and have a strong foundation for building complete backend applications.

How the Web Works

Before building APIs with FastAPI, it is essential to understand how data moves across the internet. Every time you load a webpage, log in to an app, or fetch data, your computer is participating in the Client-Server Model over the HTTP protocol.

The Client-Server Model

The web runs on a simple pattern of exchange:
  • Client (The Requester): Typically a web browser (Chrome, Safari), a mobile app, or a command-line tool like curl. The client initiates communication by sending a Request.
  • Server (The Responder): A computer running software (like our FastAPI application) that listens for incoming requests, processes them (often talking to databases), and sends back a Response.

FastAPI Fundamentals

FastAPI is a modern, high-performance Python web framework for building APIs. It is built on top of Starlette and Pydantic, leveraging Python’s type hints to provide automatic request validation, interactive API documentation, and excellent developer productivity. Before learning FastAPI, it’s important to understand what an API is, why it exists, and how applications communicate over the web.

What is an API?

API stands for Application Programming Interface. An API is a set of rules that allows two software applications to communicate with each other. It acts as an intermediary between a client and a server, enabling them to exchange data and perform operations without exposing the internal implementation of either system. Every time you:
  • Log in to a website
  • Search for products on an e-commerce site
  • Check the weather on your phone
  • Book a cab
  • Make an online payment
your application is communicating with one or more APIs.

Why Do We Need APIs?

Modern applications are made up of multiple independent components. APIs provide a standardized way for these components to communicate. APIs are commonly used to:
  • Connect frontend applications to backend services.
  • Exchange data between different systems.
  • Integrate third-party services such as payment gateways and maps.
  • Build mobile and web applications using the same backend.
  • Develop scalable microservices.
  • Serve AI and Machine Learning models.
Without APIs, every application would need direct access to another application’s internal code or database, making systems difficult to maintain and scale. FastAPI is used to build the server-side of this communication.

HTTP Fundamentals

Communication between clients and servers happens using the HyperText Transfer Protocol (HTTP). HTTP follows a simple Request → Response model.
  1. The client sends an HTTP request.
  2. The server processes the request.
  3. The server returns an HTTP response.
Every interaction with a web application follows this cycle.

Anatomy of an HTTP Request

An HTTP request typically consists of the following components:
  1. HTTP Method – Specifies the action to perform on the resource (GET, POST, PUT, DELETE, PATCH, etc.).
  2. Host – The domain name or IP address of the target server that should handle the request.
  3. Endpoint (Path) – The specific resource or API route being requested on the server (e.g., /employees or /users/101).
  4. Path Parameters – Dynamic values embedded within the endpoint path (e.g., /employees/101, where 101 is the path parameter).
  5. Query Parameters – Optional key-value pairs appended to the URL after ? to filter, search, sort, or paginate data (e.g., ?department=HR&limit=10).
  6. Headers – Metadata about the request, such as content type, authorization token, accepted response format, and user agent.
  7. Cookies – Client-specific data automatically sent by the browser, often used for sessions and user preferences.
  8. Request Body – The data sent to the server, typically in JSON format, used with methods like POST, PUT, and PATCH.

Example HTTP Request

Request Components

URL Breakdown

For the following URL:
Note: The URL contains the protocol, host, endpoint (path), path parameters, and query parameters. The complete HTTP request additionally includes the HTTP method, headers, cookies, and an optional request body.

How to Identify an Endpoint and a Path Parameter from a URL?

A common question is:
Given a URL, how can we tell which part is the endpoint and which part is a path parameter?

Short Answer

You cannot determine it by looking at the URL alone.It depends on how the route is defined in the application.

Example

Consider the following URL:
The path is:
Is 101 part of the endpoint or a path parameter?We don’t know until we see the route definition.

Case 1: 101 is a Path Parameter

Request:
FastAPI extracts:

Case 2: 101 is Part of the Endpoint

Here, 101 is a fixed part of the endpoint.

Easy Way to Remember

Route Definition
Actual Request
  • {employee_id} → Placeholder
  • 101 → Actual value

Key Takeaway

You cannot identify a path parameter by looking only at the URL.You must compare the URL with the route definition.
  • Route Definition: /employees/{employee_id}
  • Request URL: /employees/101
  • Path Parameter Value: employee_id = 101

Anatomy of an HTTP Response

After processing a request, the server sends an HTTP response containing:
  • Status Code – Indicates whether the request was successful.
  • Response Headers – Metadata about the response.
  • Response Body – The returned data, usually in JSON format.

General Structure

API Endpoints

An endpoint is a specific URL where an API provides access to a resource. Examples:
Each endpoint performs a specific operation on a resource.

HTTP Methods

Example: HTTP GET Request

Suppose a weather application wants to retrieve the current weather for London.

API URL

This is the complete URL used by the client application.
  • Protocolhttps
  • Host (Server)api.weatherapi.com
  • Endpoint (Resource)/weather/current
  • Query Parametercity=London
Note: In REST APIs, everything exposed by the server is treated as a resource. Examples include students, users, products, orders, and weather. Each resource is identified by its own endpoint.

Actual HTTP Request

When the client sends the request, it is represented as:

Understanding the Request

HTTP Method

Specifies the action to perform.
  • GET → Retrieve data
  • POST → Create data
  • PUT → Update data
  • DELETE → Delete data

Endpoint

Identifies the resource requested from the server.

Query Parameter

Provides additional information needed to process the request.

Request Headers

Headers carry additional information about the request.
  • Host → Target server
  • X-API-Key → Client authentication
  • Accept → Expected response format
Note: The complete URL contains the protocol and host, but the actual HTTP request sends only the endpoint and query parameters in the request line. The host is sent separately using the Host header.

HTTP Response

Response Components

  • Status LineHTTP/1.1 200 OK
  • Response Headers → Metadata about the response
  • Response Body → The actual data returned by the server

Request–Response Flow

Remember: Every API communication follows the same cycle: Client → HTTP Request → Server → HTTP Response → Client

Why FastAPI?

FastAPI simplifies backend development by providing:
  • High performance
  • Automatic request validation
  • Interactive API documentation
  • Built-in support for Python type hints
  • Automatic OpenAPI specification generation
  • Easy integration with databases and authentication
  • Excellent developer productivity
Throughout this chapter, you’ll use FastAPI to build REST APIs while understanding the concepts behind modern backend development.

Getting Started

Install FastAPI, configure your environment, and build your first API.

Routing & HTTP Methods

Create API endpoints using GET, POST, PUT, PATCH, and DELETE.

Request & Response Models

Validate incoming data and return structured responses using Pydantic.

Interactive API Docs

Explore and test your APIs using Swagger UI and ReDoc.