Section 3: Build a Data Science API with Python and FastAPI

This section will introduce the most common libraries used in Python to perform data science-related tasks. We'll see how to integrate those tools in a FastAPI backend with performance and maintainability in mind.

 This section comprises the following chapters:

• Chapter 11, Introduction to NumPy and pandas
• Chapter12, Train Machine Learning Models with scikit-learn
• Chapter13, Create an Efficient Prediction API Endpoint with FastAPI
• Chapter 14, Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV