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License: BSD 3-Clause "New" or "Revised" License

Dockerfile 0.22% Python 0.30% Perl 2.73% Roff 5.55% JavaScript 85.40% Makefile 0.20% CSS 2.14% Shell 0.91% HTML 2.56%

jupyterdesktop-bundle-image's Introduction

JupyterDesktop Bundle Image

Build ready to use Jupyter Notebook image with desktop proxy and common development tools.

Included software

From this repo

  • Xfce Desktop Environment with proxy configured
  • Compiler
    • C, C++
    • Fortran
    • Scala
  • Text editor
    • Notepadqq
    • VScode
    • Atom
  • Productivity
    • LibreOffice
    • Lyx
    • VLC
    • Firefox

From base image

  • Jupyter Notebook server
  • R interpreter and base environment
    • IRKernel to support R code in Jupyter notebooks
  • Python with popular packages from the scientific Python ecosystem
  • Julia compiler and base environment
    • IJulia to support Julia code in Jupyter notebooks

Built instructions

From any jupyter/docker-stacks image

  1. Clone the main branch
  2. Change current directory to the repo
  3. Edit ./Dockefile to select the image
FROM jupyter/datascience-notebook:latest
  1. run docker build -t <TAG> . to build image.

For building GPU accelerated docker image

  1. Clone the GPU branch
  2. Easiest way is to build a GPU upon the image of GPU-Jupyter a. Follow the instruction and comment out the last line in ./.build/Dockerfile This will build an image without pre-configured password.
# Copy jupyter_notebook_config.json

# COPY jupyter_notebook_config.json /etc/jupyter/
  1. Build and tag the image
  2. Change current directory to the repo
  3. Edit ./Dockefile to select the image built in step 2.
FROM <tag-of-image>
  1. run docker build -t <TAG> . to build image.

Notes

  • Electron Apps such as VScode and Atom can't start in a container environment without disabling sandbox with the --no-sandbox flag.

jupyterdesktop-bundle-image's People

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