Metadata-Version: 2.1
Name: ceda-datapoint
Version: 0.4.8
Summary: DataPoint provides python-based search/access tools for using data primarily from the CEDA Archive.
License: BSD 3
Author: Daniel Westwood
Author-email: daniel.westwood@stfc.ac.uk
Requires-Python: >=3.9,<4.0
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
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Description-Content-Type: text/markdown

# DataPoint package

[![PyPI version](https://badge.fury.io/py/ceda-datapoint.svg)](https://pypi.python.org/pypi/ceda-datapoint/)

**ceda-datapoint** is a Python package which provides Python-based search/access tools for using data primarily from the CEDA Archive. For some time we've been generating so-called 
Cloud Formats which act as representations, references or mappers to data stored in the CEDA Archive. Most of our data is in archival formats like NetCDF/HDF which makes them great for use with the HPC architecture on which the archive resides (see the [JASMIN homepage](https://jasmin.ac.uk/) for more details), but not so good for open access outside of JASMIN. 

See the documentation at https://cedadev.github.io/datapoint for more information.

## Installation

The DataPoint module is now an installable module with pip!
```
pip install ceda-datapoint
```

## Basic usage

See the documentation for a more in-depth description of how to run a search query and access data.
```
from ceda_datapoint import DataPointClient
client = DataPointClient(org='CEDA)
# Continue to perform searches and access data
```

