Tools for using compute.rhg.com and compute.impactlab.org
Project description
=================
RHG Compute Tools
=================
.. image:: https://img.shields.io/pypi/v/rhg_compute_tools.svg
:target: https://pypi.python.org/pypi/rhg_compute_tools
.. image:: https://img.shields.io/travis/RhodiumGroup/rhg_compute_tools.svg
:target: https://travis-ci.org/RhodiumGroup/rhg_compute_tools
.. 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
--------
* 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 as rhg
>>> cluster, client = rhg.get_cluster()
=======
History
=======
.. current developments
v0.1.5
====================
* need to figure out how to use this rever thing
v0.1.4
====================
* Bug fix again in ``rhg_compute_tools.kubernetes.get_worker``
v0.1.3
====================
* Bug fix in ``rhg_compute_tools.kubernetes.get_worker``
v0.1.2
====================
* Add xarray from delayed methods in ``rhg_compute_tools.xarray`` (:issue:`12`)
* ``rhg_compute_tools.gcs.cp_to_gcs`` now calls ``gsutil`` in a subprocess instead of ``google.storage`` operations. This dramatically improves performance when transferring large numbers of small files (:issue:`11`)
* Additional cluster creation helpers (:issue:`3`)
v0.1.1
====================
* New google compute helpers (see ``rhg_compute_tools.gcs.cp_to_gcs``, ``rhg_compute_tools.gcs.get_bucket``)
* New cluster creation helper (see ``rhg_compute_tools.kubernetes.get_worker``)
* Dask client.map helpers (see ``rhg_compute_tools.utils submodule``)
v0.1.0
====================
* First release on PyPI.
RHG Compute Tools
=================
.. image:: https://img.shields.io/pypi/v/rhg_compute_tools.svg
:target: https://pypi.python.org/pypi/rhg_compute_tools
.. image:: https://img.shields.io/travis/RhodiumGroup/rhg_compute_tools.svg
:target: https://travis-ci.org/RhodiumGroup/rhg_compute_tools
.. 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
--------
* 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 as rhg
>>> cluster, client = rhg.get_cluster()
=======
History
=======
.. current developments
v0.1.5
====================
* need to figure out how to use this rever thing
v0.1.4
====================
* Bug fix again in ``rhg_compute_tools.kubernetes.get_worker``
v0.1.3
====================
* Bug fix in ``rhg_compute_tools.kubernetes.get_worker``
v0.1.2
====================
* Add xarray from delayed methods in ``rhg_compute_tools.xarray`` (:issue:`12`)
* ``rhg_compute_tools.gcs.cp_to_gcs`` now calls ``gsutil`` in a subprocess instead of ``google.storage`` operations. This dramatically improves performance when transferring large numbers of small files (:issue:`11`)
* Additional cluster creation helpers (:issue:`3`)
v0.1.1
====================
* New google compute helpers (see ``rhg_compute_tools.gcs.cp_to_gcs``, ``rhg_compute_tools.gcs.get_bucket``)
* New cluster creation helper (see ``rhg_compute_tools.kubernetes.get_worker``)
* Dask client.map helpers (see ``rhg_compute_tools.utils submodule``)
v0.1.0
====================
* First release on PyPI.
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