erickwang / data-science-editor

A drag and drop data science editor

Data Science Editor

cereal-calories-sort.mp4

Developer setup

• Open this repository online at https://github.dev/microsoft/data-science-editor

All command line instructions assume a bash-like terminal.

On Windows, you may need to run these commands within Git Bash or Windows Subsystem for Linux (WSL), unless you have bash-like tools available locally. Previous installs have worked on WSL2 with Ubuntu-20.04.

Codespaces

Edit this project directly from your browser using GitHub Codespaces. If you have access to them,

• open project in a new codespace (https://github.dev/microsoft/data-science-editor)
• launch the docs server

yarn develop

• click on the generated URL in the terminal output and voila!

Do not use npm

Updating dependencies

Use npm-check-updates to upgrade all dependencies expect blockly*, tfjs, mdx.

VS Code

You are welcome to use any editor you want! Visual Studio Code provides seamless support for git sub-modules and is our preferred editor.

• open Visual Studio Code

code .

• install the recommended extensions (MDX, ESLint and Prettier extensions)
• remember that you need a bash-like terminal to run some of these commands - VS Code allows you to start a Git Bash terminal from the new terminals dropdown
• run the docs web site locally

yarn develop

• browse to the local server

http://localhost:8000?dbg=1

Generate block docs

• add ?screenshot=1
• right click in empty editor and select generate screenshots
• select /src/pages/blocks folder
• commit

Microsoft Open Source Code of Conduct

This project is hosted at https://github.com/microsoft/data-science-editor. This project has adopted the Microsoft Open Source Code of Conduct.

Resources:

• Microsoft Open Source Code of Conduct
• Microsoft Code of Conduct FAQ
• Contact [email protected] with questions or concerns