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https://github.com/spencerahill/aospy
Python package for automated analysis and management of gridded climate data
https://github.com/spencerahill/aospy
climate netcdf python science xarray
Last synced: 2 months ago
JSON representation
Python package for automated analysis and management of gridded climate data
- Host: GitHub
- URL: https://github.com/spencerahill/aospy
- Owner: spencerahill
- License: apache-2.0
- Created: 2015-06-11T01:12:43.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2020-06-01T13:48:02.000Z (over 4 years ago)
- Last Synced: 2024-10-18T16:19:58.379Z (3 months ago)
- Topics: climate, netcdf, python, science, xarray
- Language: Python
- Homepage:
- Size: 6.79 MB
- Stars: 83
- Watchers: 11
- Forks: 12
- Open Issues: 74
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
- awesome-atmos - aospy
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README
aospy: automated climate data analysis and management
=====================================================.. image:: https://readthedocs.org/projects/aospy/badge/?version=latest
:target: http://aospy.readthedocs.io/en/latest/?badge=latest
:alt: Documentation status
.. image:: https://dev.azure.com/spencerahill/aospy/_apis/build/status/spencerahill.aospy?branchName=master
:target: https://dev.azure.com/spencerahill/aospy/_build/latest?definitionId=1&branchName=master
:alt: Azure Pipelines status
.. image:: https://codecov.io/gh/spencerahill/aospy/branch/develop/graph/badge.svg
:target: https://codecov.io/gh/spencerahill/aospy
:alt: Codecov status
.. image:: https://zenodo.org/badge/37231620.svg
:target: https://zenodo.org/badge/latestdoi/37231620
:alt: Zenodo DOIaospy is a Python-based tool for automating computations involving
gridded climate data and the management of the results of those
computations. Use it to accelerate your science by automating your
climate data workflow.Please visit our documentation for more detailed information: what it
does, how to install, how to use, how it works, etc.:
http://aospy.readthedocs.ioQuickstart
----------Install via `conda `_ ::
conda install -c conda-forge aospy
And that's it! We're also available via pip: ``pip install aospy``.
Then checkout the `official documentation
`_ for instructions on how to get
started.Troubleshooting
---------------Questions of any kind are welcome and best placed as `Issues
`_ on our official
`Github repo `_.Please don't hesitate to ask a question, especially if you're new to
the package and/or Python! We are eager to help people get started
using aospy.Copyright and license
---------------------Copyright 2018, the aospy developers.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License... image:: doc/aospy_logo.png
:alt: aospy logo
:align: center
:height: 300px
:width: 300px
:name: aospy-logo