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The command line interface for interacting with notabene.

Project description

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Bring best practices from software engineering to your jupyter notebooks using NotaBene.

Knowledge is best transfered when its presentation is familiar. Notabene enables you to standardize and simplify knowledge transfer on data insights.

Features

  • Notebook Templates
    • Create and use your own library of notebook templates

Getting Started

The project's documentation contains a section to help you get started.

Installation

Install NotaBene using:

pip install notabene-cli

Usage

Ensure you have a pyproject.toml file in the root of your project (can be empty). Run on of the following commands to interact with the templates in your project.

notabene template create
notabene template list
notabene template use

For more information on how to get started visit the documentation.

Development Prerequisites

If you're going to be working in the code (rather than just using the library), you'll want a few utilities.

Authors

  • Jeroen Peter Bos - Initial work - github

See also the list of contributors who participated in this project.

LicenseCopyright (c) Jeroen Peter Bos

All rights reserved.

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