Metadata-Version: 2.1
Name: jupyterlab_downloadfolder
Version: 0.1.0
Summary: Plugin JupyterLab for Downloading a folder as archive
Home-page: https://github.com/fcollonval/jupyterlab_download_folder
Author: Frederic Collonval
Author-email: fcollonval@gmail.com
License: MIT
Description: # jupyterlab-downloadfolder
        
        Allow to export a folder as an archive file.
        
        
        ## Requirements
        
        * JupyterLab >= 1.0.0 
        
        ## Install
        
        ```bash
        jupyter labextension install jupyterlab-downloadfolder
        ```
        
        ## Contributing
        
        ### Install
        
        The `jlpm` command is JupyterLab's pinned version of
        [yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
        `yarn` or `npm` in lieu of `jlpm` below.
        
        ```bash
        # Clone the repo to your local environment
        # Move to jupyterlab-downloadfolder directory
        # Install dependencies
        jlpm
        # Build Typescript source
        jlpm build
        # Link your development version of the extension with JupyterLab
        jupyter labextension link .
        # Rebuild Typescript source after making changes
        jlpm build
        # Rebuild JupyterLab after making any changes
        jupyter lab build
        ```
        
        You can watch the source directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.
        
        ```bash
        # Watch the source directory in another terminal tab
        jlpm watch
        # Run jupyterlab in watch mode in one terminal tab
        jupyter lab --watch
        ```
        
        ### Uninstall
        
        ```bash
        jupyter labextension uninstall jupyterlab-downloadfolder
        ```
        
        
Keywords: jupyterlab
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.5
Description-Content-Type: text/markdown
