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Key benefits

Cover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injection

Develop efficient RESTful APIs for data science with modern Python

Build, test, and deploy high performing data science and machine learning systems with FastAPI

Description

FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client. By the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.

What you will learn

Explore the basics of modern Python and async I/O programming

Get to grips with basic and advanced concepts of the FastAPI framework

Implement a FastAPI dependency to efficiently run a machine learning model

Integrate a simple face detection algorithm in a FastAPI backend

Integrate common Python data science libraries in a web backend

Deploy a performant and reliable web backend for a data science application

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Time Series Analysis with Python Cookbook

£38.99

Building Data Science Applications with FastAPI

£41.99

£29.99

Total £ 110.97

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Amazon verified reviews

Vishvas Patel Oct 12, 2021

This book perfectly addresses modern data science challenges like managing and deployment of data models, security and testing using the FastAPI web framework. It covers from the ground up from basic python to advance model build & deployment using FastAPI methods. The author, François, has covered deep into the features with clarification on why, what, how and when to use. I am impressed with the depth of the author's knowledge as well as the ability to convey concepts clearly. I highly recommend this book to read by any experience #DataScientist or novice who is in that journey. Reading this book is really worth the amount of time put into it. #HappyLeanrning

Amazon Verified review

Jack Raifer Oct 08, 2021

Moving from modeling to production has always been one of the big challenges in #MachineLearning. In this book, Francios Voron gives us a path to doing this through #FastAPI. A great, practical book for both beginners and experts, Francios plainly explains from the basics of #Python, #Numpy and #Pandas, all the way to advanced topics such as #Websockets, #FastAPI and even gives a practical tutorial to building a Face Detection System with #OpenCV.Easy to read, practical code, never assumes any knowledge of the subject and most of all, very easy to reference. I can highly recommend this book to any #DataScientist, weather experts of students who are just starting, if you want to learn how to get your models from something interesting that works locally, to an actual online application that can be easily used by others.

Robert Bracco Oct 10, 2021

The book is ambitious, seeking to cover FastAPI, it's core related tools Pydantic, databases, ORMs, and extending to more general Python and Machine Learning pipelines. I have some experience across all these areas, and was most interested in the FastAPI core content, but I found value and learned something new and important in every single section. I am thoroughly impressed with the depth of the author's knowledge as well as his ability to convey it. François gets deep into the features but at every point is clear about why and when we would want to use them. I feel reading this book helped me update my mental models in a way that will improve my ability to develop and deploy complex systems. Thank you!

Richard Walker Jan 04, 2022

After completing a couple of video courses online, I bought this book to reinforce my Python/FastAPI know-how. The book is in three core sections. The first two interested me the most. I love the pragmatic approach and pace, with enough detail to get going or gain a refresher in section 1 and deeper dives in section 2, providing all the core foundations., and section 3 building on top with the data science stuff such as NumPy, pandas and machine learning models. A great book to have as a companion when working with FastAPI.

Muhammad Fahad Oct 10, 2021

This book is a great source for developers and businesses trying to integrate FastAPI into their teams. FastAPI is a relatively new framework and has been proven to be the fastest api service in Python already. The book went over all the fundamentals and advantages of using FastAPI in data science. Definitely a good read, if you want to learn about FastAPI or even advance your pre existing knowledge for this framework. 5/5

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python

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