Book Image

Building Data Science Applications with FastAPI - Second Edition

By : François Voron
3 (1)
Book Image

Building Data Science Applications with FastAPI - Second Edition

3 (1)
By: François Voron

Overview of this book

Building Data Science Applications with FastAPI is the go-to resource for creating efficient and dependable data science API backends. This second edition incorporates the latest Python and FastAPI advancements, along with two new AI projects – a real-time object detection system and a text-to-image generation platform using Stable Diffusion. The book starts with the basics of FastAPI and modern Python programming. You'll grasp FastAPI's robust dependency injection system, which facilitates seamless database communication, authentication implementation, and ML model integration. As you progress, you'll learn testing and deployment best practices, guaranteeing high-quality, resilient applications. Throughout the book, you'll build data science applications using FastAPI with the help of projects covering common AI use cases, such as object detection and text-to-image generation. These hands-on experiences will deepen your understanding of using FastAPI in real-world scenarios. By the end of this book, you'll be well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI, empowering you to create fast and reliable data science API backends with ease while keeping up with the latest advancements.
Table of Contents (21 chapters)
1
Part 1: Introduction to Python and FastAPI
7
Part 2: Building and Deploying a Complete Web Backend with FastAPI
13
Part 3: Building Resilient and Distributed Data Science Systems with FastAPI

Creating a first endpoint and running it locally

FastAPI is a framework that is easy to use and quick to write. In the following example, you’ll realize that this is not just a promise. In fact, creating an API endpoint involves just a few lines:

chapter03_first_endpoint_01.py

from fastapi import FastAPIapp = FastAPI()
@app.get("/")
async def hello_world():
    return {"hello": "world"}

In this example, we define a GET endpoint at the root path, which always returns the {"hello": "world"} JSON response. To do this, we first instantiate a FastAPI object, app. It will be the main application object that will wire all the API routes.

Then, we simply define a coroutine that contains our route logic, the path operation function. Its return value is automatically...