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@@ -8,13 +8,14 @@ broken down by their roles within organizations.
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### Is it appropriate for adoption within a larger institutional context?
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### Is it appropriate for adoption within a larger institutional context?
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Yes! JupyterHub has been used at-scale for large pools of users, as well
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Yes! JupyterHub has been used at-scale for large pools of users, as well
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as complex and high-performance computing.
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as complex and high-performance computing.
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For example,
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For example,
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- UC Berkeley uses
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- UC Berkeley uses
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JupyterHub for its Data Science Education Program courses (serving over
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JupyterHub for its Data Science Education Program courses (serving over
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3,000 students).
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3,000 students).
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- The Pangeo project uses JupyterHub to provide access
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- The Pangeo project uses JupyterHub to provide access
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to scalable cloud computing with Dask.
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to scalable cloud computing with Dask.
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JupyterHub is stable and customizable
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JupyterHub is stable and customizable
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to the use-cases of large organizations.
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to the use-cases of large organizations.
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@@ -123,7 +124,7 @@ as more resources are needed - allowing you to utilize the benefits of a flexibl
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### Is JupyterHub secure?
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### Is JupyterHub secure?
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The short answer: yes.
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The short answer: yes.
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JupyterHub as a standalone application has been battle-tested at an institutional
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JupyterHub as a standalone application has been battle-tested at an institutional
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level for several years, and makes a number of "default" security decisions that are reasonable for most
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level for several years, and makes a number of "default" security decisions that are reasonable for most
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users.
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users.
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