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Unify base image choice

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This commit is contained in:
Ayaz Salikhov
2023-07-28 13:18:07 +04:00
parent 4ee1da08c1
commit d3ffd76092
1 changed files with 7 additions and 16 deletions
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docs/using/recipes.md
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@@ -29,7 +29,6 @@ Create a new Dockerfile like the one shown below.
To use a requirements.txt file, first, create your `requirements.txt` file with the listing of packages desired.
```dockerfile
# Start from a core stack version
FROM jupyter/base-notebook
RUN mamba install --yes 'flake8' && \
@@ -48,7 +47,6 @@ RUN mamba install --yes --file /tmp/requirements.txt && \
`pip` usage is similar:
```dockerfile
# Start from a core stack version
FROM jupyter/base-notebook
# Install in the default python3 environment
@@ -75,7 +73,6 @@ The default version of Python that ships with the image may not be the version y
The instructions below permit adding a conda environment with a different Python version and making it accessible to Jupyter.
```dockerfile
# Choose your desired base image
FROM jupyter/minimal-notebook
# name your environment and choose the python version
@@ -112,7 +109,6 @@ RUN "${CONDA_DIR}/envs/${conda_env}/bin/python" -m ipykernel install --user --na
Create the Dockerfile as:
```dockerfile
# Start from a core stack version
FROM jupyter/scipy-notebook
# Install the Dask dashboard
@@ -215,9 +211,7 @@ Most containers, including our Ubuntu base image, ship without manpages installe
You can use the following Dockerfile to inherit from one of our images to enable manpages:
```dockerfile
# Choose your desired base image
ARG BASE_CONTAINER=jupyter/datascience-notebook
FROM $BASE_CONTAINER
FROM jupyter/datascience-notebookR
USER root
@@ -281,7 +275,8 @@ To use a specific version of JupyterHub, the version of `jupyterhub` in your ima
version in the Hub itself.
```dockerfile
FROM jupyter/base-notebook:2023-07-25
FROM jupyter/base-notebook
RUN pip install --no-cache-dir jupyterhub==1.4.1 && \
fix-permissions "${CONDA_DIR}" && \
fix-permissions "/home/${NB_USER}"
@@ -472,7 +467,7 @@ For JupyterLab:
```bash
docker run -it --rm \
jupyter/base-notebook:2023-07-25 \
jupyter/base-notebook \
start-notebook.sh --IdentityProvider.token=''
```
@@ -481,7 +476,7 @@ For Jupyter Notebook:
```bash
docker run -it --rm \
-e DOCKER_STACKS_JUPYTER_CMD=notebook \
jupyter/base-notebook:2023-07-25 \
jupyter/base-notebook \
start-notebook.sh --IdentityProvider.token=''
```
@@ -490,7 +485,6 @@ docker run -it --rm \
NB: this works for classic notebooks only
```dockerfile
# Update with your base image of choice
FROM jupyter/minimal-notebook
USER ${NB_UID}
@@ -573,8 +567,7 @@ docker run -it --rm \
The example below is a Dockerfile to install the [ijavascript kernel](https://github.com/n-riesco/ijavascript).
```dockerfile
# use one of the Jupyter Docker Stacks images
FROM jupyter/scipy-notebook:2023-07-25
FROM jupyter/scipy-notebook
# install ijavascript
RUN npm install -g ijavascript
@@ -586,9 +579,7 @@ RUN ijsinstall
The following recipe demonstrates how to add functionality to read from and write to an instance of Microsoft SQL server in your notebook.
```dockerfile
ARG BASE_IMAGE=jupyter/base-notebook
FROM $BASE_IMAGE
FROM jupyter/base-notebook
USER root