Hands-On APIs for AI and Data Science (Early Release)

Part one takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part two helps you consume APIs in a data science project using industry-standard tools. In part three, you'll use ChatGPT Actions, the LangChain framework, and other tools to access your APIs with generative AI and large language models (LLMs).
As you complete the chapters in the book, you'll create a professional online portfolio demonstrating your new skill with APIs, AI, and data science.
You'll learn how to
Design APIs that are useful to data scientists and AI applications
Develop APIs using Python and FastAPI
Deploy APIs using multiple cloud providers
Create API documentation and generate a rich OpenAPI specification
Create data science projects such as visualizations and models using APIs as a data source
Access APIs using generative AI and LLMs
Author Ryan Day is a data scientist in the financial services industry with a background in API design, software development, and cloud architecture