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Building Data Science Applications with FastAPI

You're reading from  Building Data Science Applications with FastAPI

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801079211
Pages 426 pages
Edition 1st Edition
Languages
Author (1):
François Voron François Voron
Profile icon François Voron

Table of Contents (19) Chapters

Preface Section 1: Introduction to Python and FastAPI
Chapter 1: Python Development Environment Setup Chapter 2: Python Programming Specificities Chapter 3: Developing a RESTful API with FastAPI Chapter 4: Managing Pydantic Data Models in FastAPI Chapter 5: Dependency Injections in FastAPI Section 2: Build and Deploy a Complete Web Backend with FastAPI
Chapter 6: Databases and Asynchronous ORMs Chapter 7: Managing Authentication and Security in FastAPI Chapter 8: Defining WebSockets for Two-Way Interactive Communication in FastAPI Chapter 9: Testing an API Asynchronously with pytest and HTTPX Chapter 10: Deploying a FastAPI Project Section 3: Build a Data Science API with Python and FastAPI
Chapter 11: Introduction to NumPy and pandas Chapter 12: Training Machine Learning Models with scikit-learn Chapter 13: Creating an Efficient Prediction API Endpoint with FastAPI Chapter 14: Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV Other Books You May Enjoy

Summary

Congratulations! You've reached another big milestone in your mastering of building a REST API with FastAPI. As you know, databases are an essential part of every system; they allow you to save data in a structured way and retrieve it precisely and reliably thanks to powerful query languages. You are now able to leverage their power in FastAPI, whether they are relational databases or document-oriented databases. Additionally, you've seen the differences between working with and without an ORM to manage relational databases, and you have also learned about the importance of a good migration system when working with such databases.

Serious things can now happen: users can send and retrieve data to and from your system. However, this poses a new challenge to tackle. This data needs to be protected so that it can remain private and secure. This is exactly what we'll discuss in our next chapter: how to authenticate users and set up FastAPI for maximum security...

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