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Update config-user-env.md

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I made a few changes to the spacing used.
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Alexander Chosen Okon
2022-10-19 11:49:55 +00:00
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docs/source/reference/config-user-env.md
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@@ -18,8 +18,7 @@ This section will focus on user environments, which includes the following:
## Installing packages ## Installing packages
To make packages available to users, you will typically install packages To make packages available to users, you will typically install packages system-wide or in a shared environment.
system-wide or in a shared environment.
This installation location should always be in the same environment where `jupyterhub-singleuser` itself is installed, and must be _readable and executable_ by your users. If you want users to be able to install additional packages, it must also be _writable_ by your users. This installation location should always be in the same environment where `jupyterhub-singleuser` itself is installed, and must be _readable and executable_ by your users. If you want users to be able to install additional packages, it must also be _writable_ by your users.
@@ -40,8 +39,7 @@ Alternatively, You may also use conda to install packages. To do this, ensure th
and [IPython](https://ipython.readthedocs.io/en/stable/development/config.html) and [IPython](https://ipython.readthedocs.io/en/stable/development/config.html)
have their own configuration systems. have their own configuration systems.
As a JupyterHub administrator, you will typically want to install and configure environments for all JupyterHub users. For example, let's say you wish for each student in As a JupyterHub administrator, you will typically want to install and configure environments for all JupyterHub users. For example, let's say you wish for each student in a class to have the same user environment configuration.
a class to have the same user environment configuration.
Jupyter and IPython support **"system-wide"** locations for configuration, which is the logical place to put global configuration that you want to affect all users. It's generally more efficient to configure user environments "system-wide",and it's a good practice to avoid creating files in the users' home directories. Jupyter and IPython support **"system-wide"** locations for configuration, which is the logical place to put global configuration that you want to affect all users. It's generally more efficient to configure user environments "system-wide",and it's a good practice to avoid creating files in the users' home directories.
The typical locations for these config files are: The typical locations for these config files are: