📝 Minor improvements to docs

This commit is contained in:
Tania Allard
2022-01-28 17:16:26 +00:00
parent 1ac9fc0d05
commit b68ff7f67f
2 changed files with 3 additions and 5 deletions

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@@ -197,14 +197,13 @@ If you do, keep in mind that features supported by the `start.sh` script and its
The default Python 3.x [Conda environment](https://conda.io/projects/conda/en/latest/user-guide/concepts/environments.html) resides in `/opt/conda`.
The `/opt/conda/bin` directory is part of the default `jovyan` user's `${PATH}`.
TODO: Should whitelist be changes to allowlisted/welcome-listed
That directory is also whitelisted for use in `sudo` commands by the `start.sh` script.
That directory is also allowlisted for use in `sudo` commands by the `start.sh` script.
The `jovyan` user has full read/write access to the `/opt/conda` directory.
You can use either `pip`, `conda` or `mamba` to install new packages without any additional permissions.
```bash
# install a package into the default (python 3.x) environment and cleanup after
# install a package into the default (python 3.x) environment and cleanup after
# the installation
mamba install --quiet --yes some-package && \
mamba clean --all -f -y && \

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@@ -31,8 +31,7 @@ It is the basis for all other stacks and contains:
- [mamba](https://github.com/mamba-org/mamba): "reimplementation of the conda package manager in C++". We use this package manager by default when installing packages.
- `notebook`, `jupyterhub` and `jupyterlab` packages
- No preinstalled scientific computing packages
<!-- TODO: Correct link to options doc -->
- Unprivileged user `jovyan` (`uid=1000`, configurable, see options) in group `users` (`gid=100`)
- Unprivileged user `jovyan` (`uid=1000`, configurable, [see options in the common features section](./common.md) of this documentation) in group `users` (`gid=100`)
with ownership over the `/home/jovyan` and `/opt/conda` paths
- `tini` as the container entrypoint and a `start-notebook.sh` script as the default command
- A `start-singleuser.sh` script useful for launching containers in JupyterHub