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articles/machine-learning/how-to-manage-workspace.md

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author: sdgilley
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ms.date: 09/21/2022
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ms.topic: how-to
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ms.custom: fasttrack-edit, FY21Q4-aml-seo-hack, contperf-fy21q4, sdkv1, event-tier1-build-2022
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ms.custom: fasttrack-edit, FY21Q4-aml-seo-hack, contperf-fy21q4, sdkv2, event-tier1-build-2022
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# Manage Azure Machine Learning workspaces in the portal or with the Python SDK (v2)
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When running machine learning tasks using the SDK, you require a MLClient object that specifies the connection to your workspace. You can create an `MLClient` object from parameters, or with a configuration file.
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[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v1.md)]
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[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
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* **With a configuration file:** This code will read the contents of the configuration file to find your workspace. You'll get a prompt to sign in if you aren't already authenticated.
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