Hands-On APIs for AI and Data Science: Python Development with FastAPI
by Ryan Day
Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. 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.
As you complete the chapters in the book, you’ll be creating portfolio projects that teach you 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
Ryan Day is an advanced data scientist at the Conference of State Bank Supervisors (CSBS). Previously, he led the digital services division for a federal agency, advancing cloud computing, data science and API development initiatives.
An experienced Python and open-source developer, Ryan contributes to the FastAPI project and holds an AWS Solutions Architect certification. He is also a member of the National Association of Business Economics.
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