Building data science applications with FastAPI: develop, manage, and deploy efficient machine learning applications with Python

Table of Contents Python Development Environment Setup Python Programming Specificities Developing RESTful API with FastAPI Managing pydantic Data Models in FastAPI Dependency Injections in FastAPI Databases and Asynchronous ORMs Managing Authentication and Security in FastAPI Defining WebSockets for Two-Way Interactive Communication in FastAPI Testing an API Asynchronously with pytest and HTTPX Deploying a FastAPI Project Introduction to NumPy and Pandas Training Machine Learning Models with scikit-learn Creating an Efficient Prediction API Endpoint with FastAPI Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV.