Metadata-Version: 2.1
Name: notebookjs
Version: 0.1.1
Summary: notebookJS library - Seamless JavaScript integration in Python Notebooks
Home-page: https://github.com/jorgehpo/notebookJS
Author: Jorge Piazentin Ono, Juliana Freire, Claudio Silva
Author-email: jorgehpo@nyu.edu
License: MIT
Description: # notebookJS: seamless JavaScript integration in Python Notebooks 
        
        <img src="https://raw.githubusercontent.com/jorgehpo/notebookJS/main/Images/notebookJS.png" 
             align="left" 
             hspace="10" 
             vspace="6"
             width="100"
             height="120">
        
        *notebookJS* enables the execution of custom JavaScript code in Python Notebooks (Jupyter Notebook and Google Colab). This Python library can be useful for implementing and reusing  interactive Data Visualizations in Notebook environments.
        
        ![Radial Bar Chart](https://raw.githubusercontent.com/jorgehpo/notebookJS/main/Images/example_radial_bar.png)
        **Figure 1**: Radial Bar Chart of an energy consumption dataset. Adapted from this [bl.ock](https://bl.ocks.org/AntonOrlov/6b42d8676943cc933f48a43a7c7e5b6c). See [Examples/3_RadialBarChart](https://github.com/jorgehpo/notebookJS/blob/main/Examples/3_RadialBarChart/).
        
        *notebookJS* supports bidirectional communication between Python and JavaScript. User interactions in HTML/JavaScript can trigger Python callbacks that process data on demand and send the results back to the front-end code.
        
        
        If you use *notebookJS*, please reference the following work:
        
        "*Interactive Data Visualization in Jupyter Notebooks*. JP Ono, J Freire, CT Silva - Computing in Science & Engineering, 2021"
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
