semvec/pypi-packages huggingface dataset:
pynetcf 0.5.2
Reading and writing netCDF files according to CF conventions
License: MIT
Requires Python: >=3.8

.. image:: https://github.com/TUW-GEO/pynetcf/workflows/ubuntu/badge.svg
   :target: https://github.com/TUW-GEO/pynetcf/actions/workflows/ubuntu.yml

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   :target: https://github.com/TUW-GEO/pynetcf/actions/workflows/windows.yml

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   :target: https://coveralls.io/github/TUW-GEO/pynetcf?branch=master

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=======
pynetcf
=======

Basic python classes that map to netCDF files on disk written according to the `Climate and Forecast metadata conventions`_

.. _Climate and Forecast metadata conventions: (http://cfconventions.org/Data/cf-conventions/cf-conventions-1.6/build/cf-conventions.html)

This is a first draft which has a lot of room for improvements, this is especially true for the time series based representations.

Citation
========

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.846767.svg
   :target: https://doi.org/10.5281/zenodo.846767

If you use the software in a publication then please cite it using the Zenodo DOI.
Be aware that this badge links to the latest package version.

Please select your specific version at https://doi.org/10.5281/zenodo.846767 to get the DOI of that version.
You should normally always use the DOI for the specific version of your record in citations.
This is to ensure that other researchers can access the exact research artefact you used for reproducibility.

You can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning

Installation
============

This package should be installable through pip:

.. code::

    pip install pynetcf

Contribute
==========

We are happy if you want to contribute. Please raise an issue explaining what
is missing or if you find a bug. We will also gladly accept pull requests
against our master branch for new features or bug fixes.

Development setup
-----------------

For Development we also recommend a ``conda`` environment. You can create one
including test dependencies and debugger by running
``conda env create -f environment.yml``. This will create a new ``pynetcf``
environment which you can activate by using ``source activate pynetcf``.

Guidelines
----------

If you want to contribute please follow these steps:

- Fork the pynetcf repository to your account
- make a new feature branch from the pynetcf master branch
- Add your feature
- Please include tests for your contributions in one of the test directories.
  We use py.test so a simple function called test_my_feature is enough
- submit a pull request to our master branch

.. _pyscaffold-notes:

Note
====

This project has been set up using PyScaffold 4.2.3. For details and usage
information on PyScaffold see https://pyscaffold.org/.
langchain-community 0.4.1
Community contributed LangChain integrations.
License: MIT
Requires Python: <4.0.0,>=3.10.0

# 🦜️🧑‍🤝‍🧑 LangChain Community

[![Downloads](https://static.pepy.tech/badge/langchain_community/month)](https://pepy.tech/project/langchain_community)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Quick Install

```bash
pip install langchain-community
```

## What is it?

LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.

For full documentation see the [API reference](https://python.langchain.com/api_reference/community/index.html).

![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](https://raw.githubusercontent.com/langchain-ai/langchain/master/docs/static/svg/langchain_stack_112024.svg "LangChain Framework Overview")

## 📕 Releases & Versioning

`langchain-community` is currently on version `0.0.x`

All changes will be accompanied by a patch version increase.

## 💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the [Contributing Guide](https://python.langchain.com/docs/contributing/).

> [!NOTE]
> Contributing a new integration? LangChain has published a
[guide](https://python.langchain.com/docs/contributing/how_to/integrations/) on
implementing new `langchain-*` [integration packages](https://python.langchain.com/docs/concepts/architecture/#integration-packages)
and is recommending this in most cases to help decouple versioning and support
varied testing infrastructures. See [docs](https://python.langchain.com/docs/contributing/how_to/integrations/)
for details.