Sebastian Ramirez - Serving ML Easily With FastAPI | PyData Fest Amsterdam 2020 скачать в хорошем качестве

Sebastian Ramirez - Serving ML Easily With FastAPI | PyData Fest Amsterdam 2020

PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/ticke... Part of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FA... Sebastian Ramirez - Serving ML Easily With FastAPI | PyData Fest Amsterdam 2020 You know Machine Learning, your models are working well, the team likes the results… but now you need to “serve” them in an API so that others can interact with it (developers/frontend team/other systems). In this talk, you will learn how to easily build a production-ready web (JSON) API for your ML models with FastAPI, including best practices by default. With very little code, you will get automatic/interactive documentation, data validation, authentication, open standards (OpenAPI, JSON Schema, OAuth2), and the best performance available in Python (on par with Go and NodeJS). On top of that, you will have autocompletion and type checks in your editor, even for your own data, no matter the complexity of its shape. The talk is targeted at Machine Learning practitioners that only know the basics of web development: what is an API, HTTP, JSON, etc. But can be appropriate for anyone interested in building web APIs. It’s a very practical talk showing working code examples. === www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 0:00 Introduction 1:45 About FastAPI 2:24 FastAPI Basics 3:22 Support for type annotations 4:17 Concise backend code 6:00 Challenge: serving a machine learning model 7:33 How API routes and documentation work 11:30 Parsing HTTP body and query 18:05 Making ML calls from the API app 23:20 Data validation of the HTTP body 28:52 IDE auto-completion and type checks 30:49 Documenting fields with metadata 32:57 Declaring mandatory fields and validating requests 36:56 Performance 38:27 Additional features 39:50 About typer and thing libraries 41:30 Q&A S/o to https://github.com/mycaule for the video timestamps! Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...