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Building Data Science Applications with FastAPI

You're reading from   Building Data Science Applications with FastAPI Develop, manage, and deploy efficient machine learning applications with Python

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801079211
Length 426 pages
Edition 1st Edition
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Author (1):
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François Voron François Voron
Author Profile Icon François Voron
François Voron
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Python and FastAPI
2. Chapter 1: Python Development Environment Setup FREE CHAPTER 3. Chapter 2: Python Programming Specificities 4. Chapter 3: Developing a RESTful API with FastAPI 5. Chapter 4: Managing Pydantic Data Models in FastAPI 6. Chapter 5: Dependency Injections in FastAPI 7. Section 2: Build and Deploy a Complete Web Backend with FastAPI
8. Chapter 6: Databases and Asynchronous ORMs 9. Chapter 7: Managing Authentication and Security in FastAPI 10. Chapter 8: Defining WebSockets for Two-Way Interactive Communication in FastAPI 11. Chapter 9: Testing an API Asynchronously with pytest and HTTPX 12. Chapter 10: Deploying a FastAPI Project 13. Section 3: Build a Data Science API with Python and FastAPI
14. Chapter 11: Introduction to NumPy and pandas 15. Chapter 12: Training Machine Learning Models with scikit-learn 16. Chapter 13: Creating an Efficient Prediction API Endpoint with FastAPI 17. Chapter 14: Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV 18. Other Books You May Enjoy

Setting up testing tools for FastAPI with HTTPX

If you look at the FastAPI documentation regarding testing, you'll see that it recommends that you use TestClient provided by Starlette. In this book, we'll show you a different approach involving an HTTP client, called HTTPX.

Why? The default TestClient is implemented in a way that makes it completely synchronous, meaning you can write tests without worrying about async and await. This might sound nice, but we found that it causes some problems in practice: since your FastAPI app is designed to work asynchronously, you'll likely have lots of services working asynchronously, such as the database drivers we saw in Chapter 6, Databases and Asynchronous ORMs. Thus, in your tests, you'll probably need to perform some actions on those asynchronous services, such as filling a database with dummy data, which will make your tests asynchronous anyway. Melting the two approaches often leads to strange errors that are hard...

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