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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
作者简介
Ryan Day is an advanced data scientist at the Conference of State Bank Supervisors (CSBS). He previously led the digital services division for a federal agency, where he advanced cloud computing, data science, and API development initiatives. He is an experienced open source developer who participates in the FastAPI project by performing code reviews and answering questions.
He holds an AWS Solutions Architect certification and is a member of the National Association of Business Economics. He likes to use fantasy football for his data science and coding projects, because it generates reams of interesting data and is a topic that he’s been semi-obsessed with for more seasons than he can count.
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