Building Data Science Applications with FastAPI

Table of Contents

1. Python Development Environment Setup
2. Python Programming Specificities
3. Developing RESTful API with FastAPI
4. Managing pydantic Data Models in FastAPI
5. Dependency Injections in FastAPI
6. Databases and Asynchronous ORMs
7. Managing Authentication and Security in FastAPI
8. Defining WebSockets for Two-Way Interactive Communication in FastAPI
9. Testing an API Asynchronously with pytest and HTTPX
10. Deploying a FastAPI Project
11. Introduction to NumPy and Pandas
12. Training Machine Learning Models with scikit-learn
13. Creating an Efficient Prediction API Endpoint with FastAPI
14. Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV