<commit_before># Vivitics Node (VNode)

A workbench for Data Science powered by Jupyter and Docker which includes:

- Customized Jupyter notebook
- Dropbox integration for data persistence
- Built-in Markdown-based static blog using Pelican
- Out of the box integration with VMWare and most public cloud providers

In many ways, VNode can be thought of as a distribution of the amazing [Project Jupyter](http://jupyter.org/) wherein VNode aims to incorporate some little conveniences in an extensible way.

![VNode in action](vnode_ss.png)

With VNode you can build models locally, connect with your corporate
data sources, and collaborate with your team. If you need additional
resources you can easily use Spark, Hadoop, anything that can be
scripted to connect to from the VNode. If you prefer to simply replicate
your environment on a supercomputer in the cloud, you can do that too
with a few simple shell commands.

The default settings will create a VNode with Jupyter supporting Python
2, 3, Julia, and R. The web-enabled bash terminal and in-built conda
environment make adding and managing packages simple.<commit_msg>pgadmin integ<commit_after># Vivitics Node (VNode)

A workbench for Data Science powered by Jupyter and Docker which includes:

- Customized Jupyter notebook
- Dropbox integration for data persistence
- Built-in Markdown-based static blog using Pelican
- pgAdmin4 web app for SQL integration with Postgres / Greenplum
- Out of the box integration with VMWare and most public cloud providers

In many ways, VNode can be thought of as a distribution of the amazing [Project Jupyter](http://jupyter.org/) wherein VNode aims to incorporate some little conveniences in an extensible way.

![VNode in action](vnode_ss.png)

With VNode you can build models locally, connect with your corporate
data sources, and collaborate with your team. If you need additional
resources you can easily use Spark, Hadoop, anything that can be
scripted to connect to from the VNode. If you prefer to simply replicate
your environment on a supercomputer in the cloud, you can do that too
with a few simple shell commands.

The default settings will create a VNode with Jupyter supporting Python
2, 3, Julia, and R. The web-enabled bash terminal and in-built conda
environment make adding and managing packages simple.
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{'dir': 'git-commits-cleaned', 'id': '1901172', 'n_tokens_mistral': 602, 'n_tokens_neox': 583, 'n_words': 345}