getting-started.md

Getting Started With an OPF Data Science Project

The outline below provides some helpful links to kick start the creation of a new data science project with the Operate First Data Science Community, outlining some of our suggested best practices and tool-kits.

Organize and Structure a Project

• Review our project structure doc and get a sense for the phases of a data science project.
• Create a public git repository using our project template. Feel free to use the template directly or initialize your project via the cookiecutter tool.
  • template repo
  • cookiecutter
• Start a github project board to track tasks and share ideas. Find more info and examples here

Set Up Bots and CI Tools

• Set up the aicoe-ci tools for your repo. These tools can aid in various aspects of your development workflow by running pre-commit checks, build checks, triggering pipelines to build images and more automatically. Find more info on setting up these tools here.

Use Open Data Hub and JupyterHub instances

• Sign in to JupyterHub here
• Watch an intro tutorial on how to get started.
• Learn how to monitor your resources here.

Join the Community!

• Attend our meetups.
• Say "Hi" on Slack in the #data-science channel.
• Open an issue.