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2019-01-18 01:15:53 -05:00
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# Notebook setup
# Setting up environment
---
To run the notebooks in this repository use one of these methods:
To run the notebooks in this repository use one of the two options.
## Option 1: Use Azure Notebooks
Azure Notebooks is a hosted Jupyter-based notebook service in the Azure cloud. Azure Machine Learning Python SDK is already pre-installed in the Azure Notebooks `Python 3.6` kernel.
@@ -17,10 +17,17 @@ Azure Notebooks is a hosted Jupyter-based notebook service in the Azure cloud. A
![set kernel to Python 3.6](images/python36.png)
## **Option 2: Use your own notebook server**
### Quick installation
We recommend you create a Python virtual environment ([Miniconda](https://conda.io/miniconda.html) preferred but [virtualenv](https://virtualenv.pypa.io/en/latest/) works too) and install the SDK in it.
```sh
# install just the base SDK
pip install azureml-sdk
# clone the sample repoistory
git clone https://github.com/Azure/MachineLearningNotebooks.git
# below steps are optional
# install the base SDK and a Jupyter notebook server
pip install azureml-sdk[notebooks]
@@ -35,13 +42,10 @@ pip install azureml-sdk[automl]
# install experimental features (not ready for production use)
pip install azureml-sdk[contrib]
# clone the sample repoistory
git clone https://github.com/Azure/MachineLearningNotebooks.git
```
### Full instructions
[install the Azure Machine Learning SDK](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python)
[Install the Azure Machine Learning SDK](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python)
Please make sure you start with the [Configuration](configuration.ipynb) notebook to create and connect to a workspace.