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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:

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

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:

Settings1

Settings2

Settings3

Settings4

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.

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