https://github.com/teradata/dsco

Data Science Container
https://github.com/teradata/dsco

Last synced: 7 days ago
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Data Science Container

• Host: GitHub
• URL: https://github.com/teradata/dsco
• Owner: Teradata
• License: mit
• Created: 2020-03-02T04:40:58.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-07-23T07:25:40.000Z (over 1 year ago)
• Last Synced: 2024-04-09T11:31:42.051Z (7 months ago)
• Language: Python
• Size: 4.1 MB
• Stars: 3
• Watchers: 4
• Forks: 3
• Open Issues: 11
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
.. image:: docs/assets/banner.png

==========================

DSCO

==========================

A utility to create a data science development container.

Documentation

-------------

`github pages `_

Features

--------

DSCO creates a development container that:

  - runs a jupyter notebook server.

  - generates static html representations of your notebooks 

    for easy sharing with anyone by either the included server

    or github pages.

  - manages python dependencies with `poetry `_.

  - integrates with vscode for an IDE with a local-like feel.

If that's not enough, you also get:

  - `Flask `_ and 

    `plotly | Dash `_ for creating dashboards 

    and REST APIs.

  - Sphinx for automatic code documentation.

  - Useful Jupyter extensions installed and configured.

  - Your local project directory mounted and synced.

  - Ansible playbooks that build everything from scratch.

Install

-------

::

    pip install git+ssh://[email protected]/Teradata/dsco.git

Requirements:

    - pip > version 10

    - docker: tested with version 2.2.0.4

    - python >= 3.7

Ultra Quickstart

----------------

See also: `Quickstart `_

Create project :code:`foo` in the current directory:

::

    >>> dsco init

    Using template: ...

    Creating project in ...

    project_name [MyProject]: foo

    author [Discovery]: 

    version [0.1]: 

    year [2020]: 

    project_port [8001]:

    select python_version:

    1 - 3.7

    2 - 3.6

    Choose from 1, 2 [1]:

Build the development image and create a development container:

::

    >>> cd foo

    >>> dsco go

    docker-compose up -d dev

    Building dev

    ...

    

    ...

    Creating foo_dev_1 ... done

    ========================================================================================

    execution time: 490.9753198623657 seconds

    ========================================================================================