https://github.com/kalessin/martindev

Development Environment Dockerfile with web scraping tools, and machine and deep learning tools
https://github.com/kalessin/martindev

deep-learning docker-image machine-learning

Last synced: 25 days ago
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Development Environment Dockerfile with web scraping tools, and machine and deep learning tools

• Host: GitHub
• URL: https://github.com/kalessin/martindev
• Owner: kalessin
• Created: 2017-04-20T19:49:27.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T04:50:00.000Z (almost 2 years ago)
• Last Synced: 2023-03-11T05:18:53.014Z (over 1 year ago)
• Topics: deep-learning, docker-image, machine-learning
• Language: Vim script
• Homepage:
• Size: 42 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 12
• Metadata Files:
  • Readme: README.rst

Awesome Lists containing this project

README

        
Development environment with:

- python 3

- R

- octave

- scrapy suite

- scrapinghub suite

- jupyter notebook (aka ipython notebook)

- scipy & sklearn & matplotlib

- neurolab

- TensorFlow (no GPU support*)

- pandas

- geopandas & mplleaflet

* If you have a GPU, follow rules here to install TensorFlow with GPU support instead:

`https://www.tensorflow.org/install/install_linux#determine_which_tensorflow_to_install`_

Install/Run

===========

Build instructions::

    docker build -t kalessin/martindev .

Alternatively::

    docker pull kalessin/martindev:latest

Run instructions::

    docker run -ti kalessin/martindev /bin/bash

Running Jupyter notebook

========================

If want to run jupyter, don't forget to map the port to host machine::

    docker run -ti -v :/app/jupyter -p 127.0.0.1:8888:8888 kalessin/martindev /bin/bash

And once logged in container console, run jupyter notebook with following options::

    $ jupyter notebook --no-browser --allow-root --ip=0.0.0.0

So you can access from host by pointing browser to 127.0.0.1:8888

Running X applications

======================

If some application running in the container needs access to host X server, first run following commands in host machine running X server::

    XSOCK=/tmp/.X11-unix

    XAUTH=/tmp/.docker.xauth

    touch $XAUTH

    xauth nlist :0 | sed -e 's/^..../ffff/' | xauth -f $XAUTH nmerge -

Those steps make available the host X socket and authorization credentials for applications running in container.

Then run a new container as follows::

    docker run -ti -v $XSOCK:$XSOCK:rw -v $XAUTH:$XAUTH:rw -e DISPLAY -e XAUTHORITY=${XAUTH} kalessin/martindev /bin/bash

It is not the safest way to grant applications running in container access X server as root, but it is the simplest one. For more elaborated alternatives, check

``_