If you are a data scientist, or are even interested in data science and machine learning, you should be using Jupyter notebook. It’s super easy to install Jupyter notebook locally and begin exploring data science. Sooner or later, you’re going to need compute power, or even a GPU. And you might want to collaborate with colleagues. It’s easy to get Jupyter notebook installed on a web server as well, but this opens up a lot of security risks. Azure Machine Learning offers a managed environment to host Jupyter notebooks that takes care of these problems and allows you to focus on data science. This guide will discuss hosting, creating and using Jupyter notebooks with Python.

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