README.md

kickstart-flavor-datalytics :: Data Analytics Container

see (http://github.com/infracamp/kickstart) for more information.

This is an experimental container - use with care!

Document Index:

• Development Guide for this flavor
• Dockerhub page
  • Tags available
  • Build details

Installed Software

Package	Url
Jupyter	http://localhost:4000
SSH remote debug	Port 4100 (User: 'user', no password)
RStudio Server	http://localhost:4200

• 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
• Change from:-Line in .kick.yml to infracamp/kickstart-flavor-datalytics
• Create a .gitignore from this preset
• Setup a python3 virtualenv see howto on infracamp/kickstart-flavor-py3

Remote debugging

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.sh before going further

Go to File > Settings:

Make sure that Automatically upload files to server is turned off and path mapping of your Project directory links to /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.