.. stork documentation master file, created by sphinx-quickstart on Fri Jun 29 16:33:02 2018. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to stork's documentation! ==================================== Command line helpers for Databricks! What is stork? ----------------- Stork is a set of command line helpers for Databricks. Some commands are for managing libraries in Databricks in an automated fashion. This allows you to move away from the point-and-click interface for your development work and for deploying production-level libraries for use in scheduled Databricks jobs. Another command allows you to create an interactive cluster that replicates the settings used on a job cluster. .. _install: Installation ------------ Stork is hosted on PyPi, so to get the latest version simply install via ``pip``:: pip install stork You can also install from source, by cloning the git repository ``https://github.com/ShopRunner/stork.git`` and installing via ``easy_install``:: git clone https://github.com/ShopRunner/stork.git cd stork easy_install . .. _start: Quickstart ---------- To get started, first run ``stork configure`` and answer the questions. Then you are ready to upload libraries to Databricks, using the ``stork upload`` and ``stork upload_and_update`` commands. Please see :ref:`getting_started` for an introduction to the package, and :ref:`usage_details` for specifics on availible options. Table of Contents ----------------- .. toctree:: :maxdepth: 2 :caption: Contents: getting_started.rst stork.rst tutorial.rst contrib.rst Indices and tables ------------------ * :ref:`genindex` * :ref:`search`