Metadata-Version: 1.1
Name: conda-env
Version: 2.4.2
Summary: tools for interacting with conda environments
Home-page: https://github.com/conda/conda-env
Author: Continuum Analytics, Inc.
Author-email: support@continuum.io
License: BSD
Description: =========
        conda-env
        =========
        
        .. image:: https://travis-ci.org/conda/conda-env.svg
            :target: https://travis-ci.org/conda/conda-env
        
        Provides the `conda env` interface to Conda environments.
        
        Installing
        ----------
        
        To install `conda env` with conda, run the following command in your root environment:
        
        .. code-block:: bash
        
            $ conda install -c conda conda-env
        
        
        Usage
        -----
        All of the usage is documented via the ``--help`` flag.
        
        .. code-block:: bash
        
            $ conda env --help
            usage: conda-env [-h] {create,export,list,remove} ...
        
            positional arguments:
              {attach,create,export,list,remove,upload,update}
                attach              Embeds information describing your conda environment
                                    into the notebook metadata
                create              Create an environment based on an environment file
                export              Export a given environment
                list                List the Conda environments
                remove              Remove an environment
                upload              Upload an environment to anaconda.org
                update              Updates the current environment based on environment
                                    file
        
            optional arguments:
              -h, --help            show this help message and exit
        
        
        ``environment.yml``
        -------------------
        conda-env allows creating environments using the ``environment.yml``
        specification file.  This allows you to specify a name, channels to use when
        creating the environment, and the dependencies.  For example, to create an
        environment named ``stats`` with numpy and pandas create an ``environment.yml``
        file with this as the contents:
        
        .. code-block:: yaml
        
            name: stats
            dependencies:
              - numpy
              - pandas
        
        Then run this from the command line:
        
        .. code-block:: bash
        
            $ conda env create
            Fetching package metadata: ...
            Solving package specifications: .Linking packages ...
            [      COMPLETE      ] |#################################################| 100%
            #
            # To activate this environment, use:
            # $ source activate numpy
            #
            # To deactivate this environment, use:
            # $ source deactivate
            #
        
        Your output might vary a little bit depending on whether you have the packages
        in your local package cache.
        
        You can explicitly provide an environment spec file using ``-f`` or ``--file``
        and the name of the file you would like to use.
        
        Envronment file example
        -----------------------
        
        .. code-block:: yaml
        
            name: stats
            channels:
              - javascript
            dependencies:
              - python=3.4   # or 2.7 if you are feeling nostalgic
              - bokeh=0.9.2
              - numpy=1.9.*
              - nodejs=0.10.*
              - flask
              - pip:
                - Flask-Testing
        
        **Recommendation:** Always create your `environment.yml` file by hand.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
