• Install Python extension
• Open samples/hello.py. Python notebook related commands should be rendered as codelens
  • Click Run Cell
  • For first time users, it will install Notebook related dependencies, which might take a few minutes
  • Once all the dependencies installed, you can
• Open samples/hello.ipynb. A jupyter notebook will be opened in a webview
  • Every cell in the editor is a monaco editor, in which you can write code with language features support, like Auto Complete, Hover and Siganature help.

• open a ipynb file
  • a text editor is opened first, then closed and finally a webview is opened
• editors in the webview
  • load monaco-editor through webpack
  • no web worker in webview, everything then runs in the main thread, e.g., link detection
  • every notebook cell is a monaco editor with its own standalone services.
    • 👓standalone services can be shared across different instances of monaco editor.
  • full monaco editor created even when it's readonly mode
    • 👓colorize api can be used here
• themes
  • tokenization with textmate web assembly
• language features
  • language services run in the main extension side, which listen to changes and requests from the webview
    • model creation/deletion and content change
    • completion, hover and signature requests
    • 👓 it's not using monaco-languageclient
• keybindings
  • listen to keyboard events on the editor and handle simple ones meta+up/down, meta+s.
  • the rest of them are all Monaco builtin ones
• missing pieces
  • debugging
  • keymaps/commands from VS Code
  • decorations/codelens/etc contributed by other extensions

• Install Azure Data Studio
• Open hello.ipynb. Choose Python3 from Kernel dropdown list

• Editor
  • Custom Editor with mixed rendering:
    • markdown, html, latex, svg, text. Sanitize and render as HTML
    • source code with Monaco Editor
  • Every cell and output is a web component
• Data are loaded through Notebook Provider
  • the shape is similar to all other providers
  • provide available kernels
  • notebook manager (for managing notebook file in the custom editor)
    • provides content (Cells)
    • provides a session manager
      • creates a session for every notebook
      • session is responsible for launching kernels and handling requests and responses to the kernel
    • kernel is responsible for code cell execution
  • provide save handler for notebooks
• Missing pieces
  • Currently all editors in the notebook is specially initialzied
    • It pretends to be in a diff editor (to disable a bunch of features)
    • No minimap, rulers, indent guides
    • No parameter hints, no bracket matching
    • I didn't get suggestion working, however Jupyter notebook extension sends completion request to @jupyterlab/services
  • Since every code cell is a standalone monaco editor, there is no language features across cells, like suggestions from above code cells.
    • Technically it can be solved by registering a completion provider for Notebook cells' models.
  • Debugging
  • No rendering virtualization.

See details

• Common
  • Performance is reasonable if Monaco Editor is optimized in both Web view and Core
  • Language features require additional work for hooking up language server with code cell content
    • Jupyter notebook messages support Code Completion only at this moment
  • Debugging support requires additional work as well
• Python (running in webview)
  • Cons
    • Keymaps
    • Extensions
  • Pros
    • No work required in core
    • Highly customizable
• ADS (running in core)
  • Cons
    • require domain knowledge of Notebook
    • require content sanitization or using webview/iframes to prevent it from affecting the core
  • Pros
    • editors work the same way as others
    • no additional cost for loading monaco editor and grammars, no trade for tokenization with webassembly
    • the UI/UX would be consistent

• A jupyter notebook consists of cells and there are three major types of cells supported
  • Code cell.
  • Markdown cell.
  • TextCell.
• How a code cell is being executed
  • See details