Metadata-Version: 2.4
Name: layernext-beta
Version: 3.25.1b4
Summary: LayerNext Python SDK
Author: LayerNext
Author-email: <support@layernext.ai>
Keywords: python,datalake,datasetsync,ai,annotation,layernext,layernext,machine learning
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: requests
Requires-Dist: uuid
Requires-Dist: python-dotenv
Requires-Dist: azure-storage-blob
Requires-Dist: tqdm
Requires-Dist: PyYAML
Requires-Dist: Deprecated
Requires-Dist: pymongo
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
Dynamic: requires-dist
Dynamic: summary


# layernext-python-sdk



LayerNext python API client



Sync (upload/download) with LayerNext stacks via APIs from your code



## Installation



`$ pip install layernext`



## Usage



```python

import layernext



api_key = 'xxxxxxxxxx'

secret = 'xxxxxxxxxxx'

url = 'https://api.xxxx.layernext.ai'



client = layernext.LayerNextClient(api_key, secret, url)



```



## Building Python SDK

1. Set the correct version in `__init__.py`

2. Build the package

    - Make sure the Python virtual environment is set

    - Clean the dist folder : `rm -r dist`

    - Build the package : `python setup.py sdist bdist_wheel`

3. Upload the package

    - Use twine to upload the package : `twine upload dist/*`

    - Use the correct key for beta



