younthu / anaconda

Anaconda environments for my machines

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Anaconda Develop Environments

I have few machines, including a workstation with powerfull GPU.

But usually, i use laptops for daily work, not powerful, but easy to take along with me.

While, i still need workstation for some heavy computing tasks/experiments, It is not so convient to switch back and forth between laptops and workstation.

and, i am tired of connecting it using remote desktop.

I found the jupyter notebook server is a good way to leverage the powerful workstation, from laptops.

How to run

  1. Build images and start services: docker-compose up
    1. while build images, it may fail to update and install neccessary components, RUN apt-get update && apt-get -y install gcc && pip install --upgrade setuptools && pip install -r requirements.txt, for the sake of GFW. The solution is build with proxy arguments, check the stackoverflow link moby/moby#24697 (comment) .
    2. the proxy port can be found in the windows proxy settings.
    3. Shadowsocks is easy to use in this case. default port is 1080.
  2. open http://localhost or http://aimachine to open the jupyternotebook, the default password is password, can be changed by updating file srv/anaconda/conf/jupyter_notebook_config.json

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Anaconda environments for my machines


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