# Base Jupyter Notebook Stack

> **Images hosted on Docker Hub are no longer updated. Please, use [quay.io image](https://quay.io/repository/jupyter/base-notebook)**

[![docker pulls](https://img.shields.io/docker/pulls/jupyter/base-notebook.svg)](https://hub.docker.com/r/jupyter/base-notebook/)
[![docker stars](https://img.shields.io/docker/stars/jupyter/base-notebook.svg)](https://hub.docker.com/r/jupyter/base-notebook/)
[![image size](https://img.shields.io/docker/image-size/jupyter/base-notebook/latest)](https://hub.docker.com/r/jupyter/base-notebook/ "jupyter/base-notebook image size")

GitHub Actions in the <https://github.com/jupyter/docker-stacks> project builds and pushes this image to the Registry.

Please visit the project documentation site for help to use and contribute to this image and others.

- [Jupyter Docker Stacks on ReadTheDocs](https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html)
- [Selecting an Image :: Core Stacks :: jupyter/base-notebook](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-base-notebook)

# 构建docker-compose spawner镜像的Dockerfile

构建基[础镜像参考](https://github.com/jupyter/docker-stacks)

```shell
cp docker-stacks/images/base-notebook/* ./spawnerdockerfile/
cd spawnerdockerfile
docker buildx build -t hotwa/notebook:latest . -f Dockerfile.base-notebook --load
```

# 添加虚拟环境到jupyterhub

```shell
# 创建新的虚拟环境
micromamba create -n plot -c conda-forge scienceplots autopep8 python=3 ipykernel pandas numpy matplotlib scipy seaborn orange3 -y
micromamba run -n plot python -m pip install bamboolib
# 激活需要添加的虚拟环境
micromamba activate plot
# 环境中安装ipykernel
micromamba install -c conda-forge ipykernel -y
# 将新的虚拟环境添加为一个jupyter的内核
micromamba run -n plot python -m ipykernel install --user --name="sciplot" --display-name="SCIPlot Environment"
```

# micromamba 提示需要初始化 解决方法

```shell
eval "$(micromamba shell hook --shell bash)"
```

或者使用

```shell
miromamba init
source ~/.bashrc
```

这个操作会激活micromamba(mamba, conda)的安装目录`etc/profile.d/micromamba.sh`激活添加到bash初始化文件`.bashrc`里面

# docker镜像

关于这个jupyterlab的spawner的notebook启动的镜像来源于：quay.io/jupyterdocker-stacks-foundation

这个镜像的构建仓库是：https://github.com/jupyter/docker-stacks/blob/main/images/docker-stacks-foundation/Dockerfile

可以把这个Dockerfile的ARG参数ROOT_CONTAINER修改为docker pull nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04

pytorch-notebook构建顺序是：

docker-stacks-foundation
base-notebook
minimal-notebook
scipy-notebook
pytorch-notebook

第一步

```shell
git clone https://github.com/jupyter/docker-stacks.git
cd docker-stacks/images/docker-stacks-foundation
docker buildx build --build-arg ROOT_CONTAINER=nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04 -t quay.io/hotwa/docker-stacks-foundation:latest . --load # docker pull nvidia/cuda:12.4.1-devel-ubuntu22.04
cd ../base-notebook
docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/base-notebook:latest . --load
cd ../minimal-notebook/
docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/minimal-notebook:latest . --load
cd ../scipy-notebook
docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/scipy-notebook:latest . --load
cd ../pytorch-notebook
docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/pytorch-notebook:latest . --load
```

# 然后构建自己的基础镜像

```shell
docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/notebook:latest -f Dockerfile.base-notebook . --load
# 导出保存

```