Textbook in PDF format

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.
Part 1 takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part 2 teaches you to consume APIs in a data science project using industry-standard tools. And in Part 3, you'll use ChatGPT, 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 be creating a professional online portfolio demonstrating your new skill with APIs, AI, and data science.
You'll learn how to:
Design APIs that data scientists and AIs love
Develop APIs using Python and FastAPI
Deploy APIs using multiple cloud providers
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 and an open source developer