Let's rock the docs!

[rgbkrk]

Hi! 👋

I'm kicking off this project a little early with @willingc (we're on a video call together right now). The goals for the user guide project are going to be to:

• make the user guide something that users can contribute to easily without doing git + github
• make an inclusive and welcoming user guide that will lead to users contributing back
• create an approachable, manageable, and contributor-friendly suite of user focused documentation
• separate content from styling
• separate content from delivery

Some topic areas that we always have come up or are underserved:

• What's a kernel?

• How do I use my (conda environment | virtualenv | R install)

• How do I install more languages?

• How do I know what kernels I have?

• Switching to matplotlib dark mode when in the dark theme

• What kinds of data workflows to people use?

• How do I use spark with nteract?

• How do I go from data --> plot --> ???

  • (using pandas and plotting together for a full workflow)

• How do I use the Data Explorer

• How do I use vega and vega-lite

• How do I do parametrized workflows?

• How do I run notebooks as jobs?

• How do I create rich outputs from my python objects (and what does that even mean)?

class A:
    _repr_html_(self):
        return "<b>woo</b>"

Great User Guides to Learn from

• DataBricks' User Guide

---

There is definitely room for lots of additional notebooks with examples. Upload new notebooks into the content folder and go to town!

[jzf2101]

@rgbkrk @willingc I'm going to try to take the following items at this sprint:

• What's a kernel?

• How do I use my (conda environment | virtualenv | R install)

• How do I install more languages?

• How do I know what kernels I have?

• Switching to matplotlib dark mode when in the dark theme

• What kinds of data workflows to people use?

[jzf2101]

see nteract/nteract.io#42