By using this image, you hereby acknowledge and assent to the legal terms applicable to the Miniconda installer at [***]
Docker container with a bootstrapped installation of Miniconda (based on Python 3.X) that is ready to use.
Miniconda is installed into the /opt/conda folder and ensures that the default user has the conda command in their path.
Miniconda is a free, miniature installation of Anaconda Distribution that includes only conda, Python, the packages they both depend on, and a small number of Anaconda plugins.
You can download and run this image using the following commands:
docker pull continuumio/miniconda3 docker run -i -t continuumio/miniconda3 /bin/bash
Alternatively, you can start a Jupyter Notebook server and interact with Miniconda via your browser:
docker run -i -t -p 8888:8888 continuumio/miniconda3 /bin/bash -c "\ conda install jupyter -y --quiet && \ mkdir -p /opt/notebooks && \ jupyter notebook \ --notebook-dir=/opt/notebooks --ip='*' --port=8888 \ --no-browser --allow-root"
You can then view the Jupyter Notebook by opening http://localhost:8888 in your browser, or http://<DOCKER-MACHINE-IP>:8888 if you are using a Docker.
探索更多轩辕镜像的使用方法,找到最适合您系统的配置方式
通过 Docker 登录认证访问私有仓库
无需登录使用专属域名
Kubernetes 集群配置 Containerd
K3s 轻量级 Kubernetes 镜像加速
VS Code Dev Containers 配置
Podman 容器引擎配置
HPC 科学计算容器配置
ghcr、Quay、nvcr 等镜像仓库
Harbor Proxy Repository 对接专属域名
Portainer Registries 加速拉取
Nexus3 Docker Proxy 内网缓存
需要其他帮助?请查看我们的 常见问题Docker 镜像访问常见问题解答 或 提交工单
manifest unknown
no matching manifest(架构)
invalid tar header(解压)
TLS 证书失败
DNS 超时
410 Gone 排查
402 与流量用尽
401 认证失败
429 限流
D-Bus 凭证提示
413 与超大单层
来自真实用户的反馈,见证轩辕镜像的优质服务