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Merge pull request #105624 from trevorbye/master
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articles/machine-learning/how-to-use-environments.md

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The [`DockerSection`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.environment.dockersection?view=azure-ml-py) of the Azure Machine Learning `Environment` class allows you to finely customize and control the guest operating system on which you run your training.
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When you `enable` Docker, the service builds a Docker image. It also creates a Python environment that uses your specifications within that Docker container. This functionality provides additional isolation and reproducibility for your training runs.
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When you enable Docker, the service builds a Docker image. It also creates a Python environment that uses your specifications within that Docker container. This functionality provides additional isolation and reproducibility for your training runs.
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```python
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# Creates the environment inside a Docker container.

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