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update to 0.8.8 (#313)
* update to 0.8.8 * issue 254 fix
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README.md

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# Semantic Link Labs
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[![PyPI version](https://badge.fury.io/py/semantic-link-labs.svg)](https://badge.fury.io/py/semantic-link-labs)
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[![Read The Docs](https://readthedocs.org/projects/semantic-link-labs/badge/?version=0.8.7&style=flat)](https://readthedocs.org/projects/semantic-link-labs/)
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[![Read The Docs](https://readthedocs.org/projects/semantic-link-labs/badge/?version=0.8.8&style=flat)](https://readthedocs.org/projects/semantic-link-labs/)
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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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[![Downloads](https://static.pepy.tech/badge/semantic-link-labs)](https://pepy.tech/project/semantic-link-labs)
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2. Select your newly created environment within the 'Environment' drop down in the navigation bar at the top of the notebook
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## Version History
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* [0.8.8](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.8) (November 28, 2024)
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* [0.8.7](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.7) (November 27, 2024)
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* [0.8.6](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.6) (November 14, 2024)
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* [0.8.5](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.5) (November 13, 2024)

docs/source/conf.py

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project = 'semantic-link-labs'
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copyright = '2024, Microsoft and community'
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author = 'Microsoft and community'
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release = '0.8.7'
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release = '0.8.8'
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# -- General configuration ---------------------------------------------------
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# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

pyproject.toml

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authors = [
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{ name = "Microsoft Corporation" },
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]
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version="0.8.7"
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version="0.8.8"
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description="Semantic Link Labs for Microsoft Fabric"
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readme="README.md"
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requires-python=">=3.10,<3.12"

src/sempy_labs/_connections.py

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)
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client = fabric.FabricRestClient()
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response = client.post(f"/v1/workspaces/{workspace_id}/items/{item_id}/connections")
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response = client.get(f"/v1/workspaces/{workspace_id}/items/{item_id}/connections")
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df = pd.DataFrame(
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columns=[

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