finelybook
Hands-On APIs for AI and Data Science: Python Development with FastAPI
Author(s): Ryan Day (Author)
- Publisher finelybook 出版社: O'Reilly Media
- Publication Date 出版日期: April 8, 2025
- Edition 版次: 1st
- Language 语言: English
- Print length 页数: 352 pages
- ISBN-10: 1098164415
- ISBN-13: 9781098164416
Book Description
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
Editorial Reviews
Review
Do yourself a favor—add this book to your data science library for your continued professional development and become a better, more effective data scientist!
—Alex Gutman, author of Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Day takes the reader through a thorough, yet clear, roadmap of building APIs, using an extremely topical industry (fantasy football) as the example.
This is essential reading for anyone looking to round out their data science capabilities as an individual or better serve their customers as a company.- Eric Eager, vice president of Football Analytics, Carolina Panthers and author of
Football Analytics with Python & R With the growing importance of APIs in data science and AI, this book is an essential resource for gaining practical insights.It prioritizes understanding your consumers, which is essential for designing and building great APIs. This bookis filled with actionable examples and expert guidance. It is an invaluable read for anyone looking to create impactful APIs.
—James Gough, author of Mastering API Architecture This book is a fantastic resource for data scientists who need to use APIs, whether you're building them or accessing data through them.It's very practical, it's fun to read, and it'll be extremely useful to any data scientistwho wants to improve their software engineering skills.
—Catherine Nelson, author of
Software Engineering for Data Scientists: From Notebooks to Scalable Systems Hands-On APIs for AI and Data Science avoids the biggest mistake I see in technical books: it provides practical lessons grounded in how technology is actually used.With fun examples from sports data, author Ryan Day walks through multiple angles of a single API project.
Anyone in data science would be wise to build their career on the foundations Ryan has laid out in this book. —Adam DuVander, EveryDeveloperAbout the Author
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.
