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.
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Create a public git repository using our project template. Feel free to use the template directly or initialize your project via the cookiecutter tool.
- 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.