kickstart-flavor-datalytics :: Data Analytics Container
see (http://github.com/infracamp/kickstart) for more information.
This is an experimental container - use with care!
|SSH remote debug||Port 4100 (User: 'user', no password)|
- R 3.4.4
- Python 3.6.7
Creating a new Project
- Create and checkout an empty repository
- Download and execute
kickstart.sh- let it create an empty .kick.yml
- Create a
.gitignorefrom this preset
- Setup a python3 virtualenv see howto on infracamp/kickstart-flavor-py3
In development mode a ssh port is opened on Port
4100. This port should be blocked in your firewall for
incoming traffic from outside networks.
PyCharm Debugging / Source control
You need PyCharm Professional to enable interpreter over ssh.
The container must be running. Run
./kickstart.shbefore going further
Go to File > Settings:
Make sure that Automatically upload files to server is turned off and path mapping of your Project directory
/opt and python interpreter is set to python3
Using VENV with jupyter notebook
Just add the path to your venv to .kick.yml:
env: VIRTUAL_ENV: /opt/venv PATH: "/opt/venv/bin:$PATH"
The kernel will be configured according to these settings. Make sure
ipykernel is installed
in your venv.