semvec/pypi-packages huggingface dataset:
rhg-compute-tools 1.3.3
Tools for using compute.rhg.com and compute.impactlab.org
License: MIT license
Keywords: rhg_compute_tools

=================
        RHG Compute Tools
        =================
        
        
        .. image:: https://img.shields.io/pypi/v/rhg_compute_tools.svg
                :target: https://pypi.python.org/pypi/rhg_compute_tools
                :alt: PyPi package version
        
        .. image:: https://github.com/RhodiumGroup/rhg_compute_tools/workflows/Python%20package/badge.svg
                :target: https://github.com/RhodiumGroup/rhg_compute_tools/actions
                :alt: Build status
        
        .. image:: https://readthedocs.org/projects/rhg-compute-tools/badge/?version=latest
                :target: https://rhg-compute-tools.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        Tools for using compute.rhg.com and compute.impactlab.org
        
        
        * Free software: MIT license
        * Documentation: https://rhg-compute-tools.readthedocs.io.
        
        Installation
        ------------
        
        pip:
        
        .. code-block:: bash
        
            pip install rhg_compute_tools
        
        
        
        Features
        --------
        
        Kubernetes tools
        ~~~~~~~~~~~~~~~~
        
        * easily spin up a preconfigured cluster with ``get_cluster()``, or flavors with ``get_micro_cluster()``, ``get_standard_cluster()``, ``get_big_cluster()``, or ``get_giant_cluster()``.
        
        .. code-block:: python
        
            >>> import rhg_compute_tools.kubernetes as rhgk
            >>> cluster, client = rhgk.get_cluster()
        
        Google cloud storage utilities
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        * Utilities for managing google cloud storage directories in parallel from the command line or via a python API
        
        .. code-block:: python
        
           >>> import rhg_compute_tools.gcs as gcs
           >>> gcs.sync_gcs('my_data_dir', 'gs://my-bucket/my_data_dir')