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Hi there 👋

This is the source code home for Ryan Day.

  • 🔭 My work here is focused on Python, Data Science and APIs.

  • 🏈 I generally tie my side projects to fantasy sports or sports analytics somehow, because who likes boring data? ⚽

  • 📚 I am currently writing a book with O'Reilly: Hands-On APIs for AI and Data Science 📕

Ryan Day's Projects

airflow-quickstart icon airflow-quickstart

Get started with Apache Airflow. Check the README for instructions on how to run your first DAGs today. 🚀

api-docs icon api-docs

Documentation to support upcoming data platform API and data sets

aws-codepipeline-s3-codedeploy-linux icon aws-codepipeline-s3-codedeploy-linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

dev-portal icon dev-portal

Developer portal for example fantasy football API. Based on template from Launchany.

docs icon docs

The open-source repo for docs.github.com

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

language-markdown icon language-markdown

Add support for Markdown to Atom (including Github flavored, Markdown Extra, CriticMark, YAML/TOML front-matter, and R Markdown), and smart behavior to lists.

leeger icon leeger

Instant stats for any fantasy football league.

pydantic icon pydantic

Data parsing and validation using Python type hints

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