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DashIntro

A quick intro to Dash made for the PyData event in Zurich

Install / Use

/learn @4QuantOSS/DashIntro
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Dash Demo

Getting Started

To use binder just click the link below. The first opens the tutorial notebook and the second takes you straight to jupyterlab for more experimentation

A repository for getting started with Dash using Jupyter and Binder

  • Try jupyterlab Binder

Examples

  • Tutorial

  • Table View (https://github.com/plotly/dash-table-experiments)

  • Colorscales (https://github.com/plotly/dash-colorscales)

  • Raw HTML Support, dangerous (https://github.com/plotly/dash-dangerously-set-inner-html)

  • VisDCC (https://github.com/jimmybow/visdcc)

    • WIP since the bundle.js isn't hosted on a CDN yet
  • mydcc (https://github.com/jimmybow/mydcc)

    • WIP since the bundle.js isn't hosted on a CDN yet

Docker (new)

You can use the jupyter-repo2docker tool to make a Dockerfile from the repository

jupyter-repo2docker https://github.com/4QuantOSS/DashIntro/

Docker (out-dated)

All of the older docker files are in the Docker subdirectory

Build

To make the image yourself you can use the

docker build . -t dashdemo

Pull (preferred)

docker pull 4quant/dashdemo

Run

docker run --rm -p 8888:8888 -p 9999:9999 -t dashdemo

Run (with editable notebooks)

docker run --rm -p 8888:8888 -p 9999:9999 -v $(pwd)/notebooks:/home/dash_demo/notebooks -t dashdemo

Related Skills

View on GitHub
GitHub Stars60
CategoryDevelopment
Updated5mo ago
Forks14

Languages

Jupyter Notebook

Security Score

97/100

Audited on Nov 4, 2025

No findings