# Dockerfile-flask # Simply inherit the Python 3 image. FROM python:3 # Set an environment variable ENV APP /app # Create the directory RUN mkdir $APP WORKDIR $APP # Expose the port uWSGI will listen on EXPOSE 5000 # Copy the requirements file in order to install # Python dependencies...
https://github.com/docker-library/python Maintained by:the Docker Community This is the Git repo of theDocker "Official Image"forpython(not to be confused with any officialpythonimage provided bypythonupstream). Seethe Docker Hub pagefor the full readme on how to use this Docker image and fo...
Dockerfile new-hello_v3.tar # 如果要导出镜像到本地文件,可以使用 docker save 命令,可以使用"--input"或"<" root@Ubuntu14:~/test-dir# docker load --input new-hello_v3.tar Loaded image: new/hello:v3 root@Ubuntu14:~/test-dir# docker load < new-hello_v3.tar Loaded image: new/hello:...
pythonPythonisan interpreted,...982[OK]kaggle/pythonDockerimageforPython...33[OK]azukiapp/pythonDockerimage to runPython...3[OK]vimagick/python mini python2[OK]tsuru/pythonImageforthePython...2[OK]pandada8/alpine-pythonAnalpine based python image1[OK]1science/pythonPythonDockerimages based on...
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gcr.io I'm also not a docker guru; I'm just trying to get tensor flow operational on my windows machine and have to deal with all sorts of crazy data that comes in; so python 3.5 is nice. I am trying to use this not only for tensorflow but get a data set in, do my munging ...
3.利用分层机制优化 Docker Image 通过上两节的介绍,可以发现缺乏良好设计的 Docker Image 会给日后的维护以及我们后续CICD的效率带来较大的问题。接下来就介绍下如何利用分层机制对项目的 Docker Image 进行合理的规划。从而提升 Docker 在CICD过程中的可持续性,并提升CICD的效率。
image://docker.io/docker/dockerfile:1@sha256:443aab4ca21183e069e7d8b2dc68006594f40bddf1b15bbd83f5137bd 0.0s => [internal] load build definition from Dockerfile 0.0s => [internal] load .dockerignore 0.0s => [internal] load metadata for docker.io/library/python:3.9-slim-buster 3.9s =>...
colume1="INDEX"colume2="CONTAINER ID"colume3="NAMES"colume4="IMAGE"#每列之间间隔的字符串,默认是三个空格columeIntervalString =""maxNameLen=0foriinrange(len(containerNames)):if(maxNameLen <len(containerNames[i])): maxNameLen=len(containerNames[i]) ...
image_name='python:3.8'container=client.create_container(image=image_name,command='python --...