**Docker container based on debian providing a debian linux environment for the developement and usage of code for accelerator pyhsics - start working on your actual problems in minutes
>> apt-get install git
- get your local copy of this git repository
>> git clone
- download required, prorietary software to the directory "3rdparty"
- comment other proprietary software in the Dockerfile
- build the docker image
>> docker build . -t debian:stretch_accelduck
- make runfile executable
>> chmod +x run
- run the docker image
>> ./run
- activate the python 3 virtualenv
>> source /root/venv_python3/bin/activate
- start JupyterLab
>> jupyter-lab --notebook-dir=/mnt/dockershare/ --no-browser --allow-root --NotebookApp.token='yourpassword'
- access jupyter lab from the webbrowser of your host machine and start working...
>> localhost:8888
- Save the Docker image existing in your local Docker registry after the installation procedure.
>> docker save -o /PATHTOFILE/accelduck.tar debian:stretch_accelduck
- Copy the created tar file and the runfile to your colleagues machine
- Add the Docker image built on your machine to your colleagues local repository
>> docker load -i /PATHTOFILE/accelduck.tar
- Follow Usage Instructions
- jupyter-lab
- python 2.7
- python 3.5
- numpy
- scipy
- pandas
- tensorflow
- octave
- mayavi
- vtk
- blender
- julia
- elegant
- mad-x
- femm
- pyepics
- epics
- matlab
- mathematica
- Felix Armborst - Initial Work
This project is licensed under the copyleft GNU GENERAL PUBLIC LICENSE Version 3 - see the LICENSE.md file for details