Metadata-Version: 1.1
Name: remote-ikernel
Version: 0.2
Summary: Running IPython kernels through batch queues
Home-page: https://bitbucket.org/tdaff/remote_ikernel
Author: Tom Daff
Author-email: tdd20@cam.ac.uk
License: BSD
Description: Remote IKernel
        --------------
        
        Launch IPython/Jupyter kernels on remote systems so that they can be
        used with local noteboooks.
        
        Kernels start through interactive queues on SGE clusters and
        are tunneled to from the machine running the notebook.
        
        Commands for managing the kernels are included.
        
        Install with ``pip install remote_ikernel``.
        
        .. code:: shell
        
            # install the module (python setup.py install also works)
            pip install remote_ikernel
        
            # Set up the kernels you'd like to use
            remote_ikernel manage
        
            # add a new kernel running through GrideEngine
            remote_ikernel manage --add \
                --kernel_cmd="ipython kernel -f {connection_file}" \
                --name="Python 2.7" --cpus=2 --pe=smp --interface=sge
        
            # add an SSH connection to a remote machine
            remote_ikernel manage --add \
                --kernel_cmd="/remote/location/of/ipython kernel -f {connection_file}" \
                --name="Python 2.7" --interface=ssh --host=me@remote.machine
                --workdir='/home/me/Workdir'
        
        The kernel spec files will be installed so that the new kernel appears in
        the drop-down list in the notebook.
        
        Changes for v0.2
        ================
        
          * Connect to a host with ssh.
          * Changed prefix to 'rik_'.
          * kernel_cmd now requires the {connection_file} argument.
          * ``remote_ikernel manage --show`` command to show existing kernels.
          * Specify the working directory on the remote machine with ``--workdir``.
          * ``kernel-uuid.json`` is copied to the working director for systems where
            there is no access to the frontend filesystem.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Framework :: IPython
Classifier: License :: OSI Approved :: BSD License
