{"id":13572311,"url":"https://github.com/admariner/Building-Data-Science-Applications-with-FastAPI","last_synced_at":"2025-04-04T09:32:21.755Z","repository":{"id":37892612,"uuid":"351902120","full_name":"admariner/Building-Data-Science-Applications-with-FastAPI","owner":"admariner","description":"Building Data Science Applications with FastAPI, Published by Packt","archived":false,"fork":true,"pushed_at":"2023-07-19T09:33:01.000Z","size":1506,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-04-02T05:57:06.767Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"PacktPublishing/Building-Data-Science-Applications-with-FastAPI","license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/admariner.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-03-26T20:18:52.000Z","updated_at":"2022-05-27T04:42:40.000Z","dependencies_parsed_at":"2023-02-16T09:16:01.615Z","dependency_job_id":null,"html_url":"https://github.com/admariner/Building-Data-Science-Applications-with-FastAPI","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/admariner%2FBuilding-Data-Science-Applications-with-FastAPI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/admariner%2FBuilding-Data-Science-Applications-with-FastAPI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/admariner%2FBuilding-Data-Science-Applications-with-FastAPI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/admariner%2FBuilding-Data-Science-Applications-with-FastAPI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/admariner","download_url":"https://codeload.github.com/admariner/Building-Data-Science-Applications-with-FastAPI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247154032,"owners_count":20892776,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-01T14:01:19.756Z","updated_at":"2025-04-04T09:32:16.745Z","avatar_url":"https://github.com/admariner.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"\n\n\n# Building Data Science Applications with FastAPI\n\n\u003ca href=\"https://www.packtpub.com/product/building-data-science-applications-with-fastapi/9781801079211?utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801079211\"\u003e\u003cimg src=\"https://static.packt-cdn.com/products/9781801079211/cover/smaller\" alt=\"Building Data Science Applications with FastAPI\" height=\"256px\" align=\"right\"\u003e\u003c/a\u003e\n\nThis is the code repository for [Building Data Science Applications with FastAPI](https://www.packtpub.com/product/building-data-science-applications-with-fastapi/9781801079211?utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801079211), published by Packt.\n\n**Develop, manage, and deploy efficient machine learning applications with Python**\n\n## What is this book about?\nFastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples.\n\nThis book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll then be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client.\n\nBy the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.\n\nThis book covers the following exciting features:\n* Explore the basics of modern Python and async I/O programming\n* Get to grips with basic and advanced concepts of the FastAPI framework\n* Implement a FastAPI dependency to efficiently run a machine learning model\n* Integrate a simple face detection algorithm in a FastAPI backend\n* Integrate common Python data science libraries in a web backend\n* Deploy a performant and reliable web backend for a data science application\n\nIf you feel this book is for you, get your [copy](https://www.amazon.com/dp/1801079218) today!\n\n\u003ca href=\"https://www.packtpub.com/?utm_source=github\u0026utm_medium=banner\u0026utm_campaign=GitHubBanner\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/PacktPublishing/GitHub/master/GitHub.png\" \nalt=\"https://www.packtpub.com/\" border=\"5\" /\u003e\u003c/a\u003e\n\n## Instructions and Navigations\nAll of the code is organized into folders. For example, Chapter2.\n\nThe code will look like the following:\n```\nfrom pydantic import BaseModel\nclass Person(BaseModel):\n  first_name: str\n  last_name: str\n  age: int\n```\n\n**Following is what you need for this book:**\nThis Python data science book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. Basic knowledge of data science and machine learning concepts and how to apply them in Python is recommended.\n\nWith the following software and hardware list you can run all code files present in the book (Chapter 1-14).\n### Software and Hardware List\n| Chapter | Software required | OS required |\n| -------- | ------------------------------------ | ----------------------------------- |\n| 1 - 14 | Python 3.7 and above, JavaScript       | Windows, Mac OS X, and Linux (Any) |\n\n\nWe also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://static.packt-cdn.com/downloads/9781801079211_ColorImages.pdf).\n\n### Related products\n* Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits [[Packt]](https://www.packtpub.com/product/hands-on-machine-learning-with-scikit-learn-and-scientific-python-toolkits/9781838826048?utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781838826048) [[Amazon]](https://www.amazon.com/dp/1838826041)\n\n* Automated Machine Learning with AutoKeras [[Packt]](https://www.packtpub.com/product/automated-machine-learning-with-autokeras/9781800567641?utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781800567641) [[Amazon]](https://www.amazon.com/dp/1800567642)\n\n## Get to Know the Author\n**François Voron**\nis graduated from the University of Saint-Étienne (France) and the University of Alicante (Spain) with a master's degree in Machine Learning and Data Mining. A full-stack web developer and a data scientist, François has a proven track record working in the SaaS industry, with a special focus on Python backends and REST API.\nHe is also the creator and maintainer of FastAPI Users, the #1 authentication library for FastAPI, and is one of the top experts in the FastAPI community.\n\n\n### Download a free PDF\n\n \u003ci\u003eIf you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.\u003cbr\u003eSimply click on the link to claim your free PDF.\u003c/i\u003e\n\u003cp align=\"center\"\u003e \u003ca href=\"https://packt.link/free-ebook/9781801079211\"\u003ehttps://packt.link/free-ebook/9781801079211 \u003c/a\u003e \u003c/p\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadmariner%2FBuilding-Data-Science-Applications-with-FastAPI","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadmariner%2FBuilding-Data-Science-Applications-with-FastAPI","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadmariner%2FBuilding-Data-Science-Applications-with-FastAPI/lists"}