Hands-On APIs for AI and Data Science - Day, Ryan
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Erscheint vorauss. 29. April 2025
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  • Broschiertes Buch

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…mehr

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Produktbeschreibung
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.
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Autorenporträt
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.