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Intro to High performance, easy to learn, fast to code, ready for production Tips and Tricks for ML

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Who am I? Sebastián Ramírez github.com/tiangolo linkedin.com/in/tiangolo twitter.com/tiangolo tiangolo.com Berlin, Germany I created:

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● Python Web API framework ● 50K+ GitHub stars (about 1K+ per month) ● Used by Microsoft, Uber, Netflix, etc. ● Performance in the top rank for Python ● 3rd most used (Python Developers Survey) ● Fastest growth (Python Developers Survey) ● 3rd most loved (StackOverflow Developer Survey) @tiangolo

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● OpenAPI ● JSON Schema ● OAuth2 🔄 Automatic data conversion ✨ ✅ Automatic data validation ✨ FastAPI is based on standards 📝 Automatic API docs ✨ ● Standard type annotations @tiangolo

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Based on standards - for free @tiangolo

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Based on Python type hints ● Autocompletion everywhere ● Type checks and type errors @tiangolo

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Types provide autocompletion @tiangolo

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Easy and short @tiangolo

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Less API code @tiangolo

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Basic FastAPI app @tiangolo https://somedomain.com/items/5?q=some+query

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Basic FastAPI app - docs @tiangolo https://somedomain.com/docs

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Automatic docs @tiangolo

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Basic FastAPI app with body @tiangolo

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Basic FastAPI app with body - docs @tiangolo

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Basic FastAPI app with body - docs @tiangolo

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Basic FastAPI app with body @tiangolo

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Basic FastAPI app with body and query @tiangolo

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Basic FastAPI app with body and query - docs @tiangolo https://somedomain.com/food/?delivery=true

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Basic FastAPI app with body and query @tiangolo

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JSON array of objects in body @tiangolo

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JSON array of objects in body - docs @tiangolo

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JSON array of objects in body @tiangolo

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JSON array of objects in body - invalid data @tiangolo

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JSON array of objects in body - validation @tiangolo

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Data validation @tiangolo

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FastAPI auto-completion @tiangolo

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Type checks @tiangolo

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All based on standard Python types @tiangolo

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FastAPI - Performance @tiangolo

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FastAPI - Performance @tiangolo

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FastAPI - Other features @tiangolo ● Dependency Injection ● Security - OAuth2 ● WebSockets ● Files ● Background Tasks ● Easy GraphQL integration ● Templates ● More...

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Simple ML model and usage 🤖 @tiangolo

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Load ML models - slow disk reads 🤖 @tiangolo ✨ Read from disk as few times as possible ✨

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Load ML models - slow disk reads 🤖 @tiangolo

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Simple ML model - only load 🤖 @tiangolo

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ML model in FastAPI - simple - good ✅ @tiangolo

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ML model in FastAPI - bad 🚨 @tiangolo

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ML model in FastAPI - very bad 🚨 @tiangolo

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ML model in FastAPI - very bad 🚨 @tiangolo

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Load model and cache 😎 @tiangolo

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FastAPI with cached model ⚡ @tiangolo

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FastAPI with cached model ⚡ @tiangolo

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FastAPI - preload cached model in healthcheck ⚡ @tiangolo

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FastAPI - preload ⚡ @tiangolo

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FastAPI - async and models - bad 🚨 @tiangolo

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FastAPI - async and models - bad 🚨 @tiangolo

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Blocking code in async blocks the event loop 😱 @tiangolo ✨ Don’t put blocking code directly in async functions ✨

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FastAPI - non async and models - simple - good ✅ @tiangolo

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FastAPI - non async and models - simple - good ✅ @tiangolo

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FastAPI - async and models - good ✅ @tiangolo

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FastAPI - async and models - good ✅ @tiangolo

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FastAPI - model in dependency ✨ @tiangolo

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FastAPI - model in dependency - testing ✅ @tiangolo

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FastAPI - model in dependency - testing ✅ @tiangolo

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FastAPI - squeeze performance 🚤 @tiangolo

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FastAPI - squeeze performance 🚤 @tiangolo

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Thank you! Sebastián Ramírez tiangolo.com fastapi.tiangolo.com github.com/tiangolo linkedin.com/in/tiangolo twitter.com/tiangolo