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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

Summary

Congratulations! Through this chapter, you've discovered the basics of the Python language, a very clean and efficient language to work with. You've then been introduced to the more advanced concepts of list comprehensions and generators, which are idiomatic ways of handling sequences of data. Python is also a multi-paradigm language and you've seen how to leverage the object-oriented syntax.

Finally, you've discovered some of the most recent features of the language: type hinting, which allows static-type checking to reduce errors and speed up development, and asynchronous I/O, a set of new tools and syntax to maximize performance and allow concurrency while doing I/O-bound operations.

You're now ready to begin your journey with FastAPI! You'll see that the framework takes advantage of all those Python features to propose a fast and enjoyable development 
experience. In the next chapter, you'll learn how to write your very first...

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