point to experience the CMS User Interface. 2. As another option, you can set up the project using docker [https://www.django- cms.org/en/blog/2021/01/19/how-you-spin-up-a-django-cms-project-in-less-than-5-minutes/] quickstart The django CMS quickstart project is a template for a Docker-based production- ready setup. Especially if you know your way around Docker, you will be able to quickly set up a project that is ready locally without Docker, you can install django CMS by hand in a few steps. Setup Docker (Step 1) Install docker from here [https://docs.docker.com/get-docker/]. If you have not used docker in the past, please

point to experience the CMS User Interface. 2. As another option, you can set up the project using docker. It is a good way for a developer locally without an external vendor and we use this option in this this demonstration we will use Option 2, please read on. Setup Docker (Step 1) Install docker from here Run the demo project in docker (Step 2) Info: The demo project is a minimal django project with django-cms-quickstart docker compose build web docker compose up -d database_default docker compose run web python manage.py migrate docker compose run web python manage.py createsuperuser docker compose up -d During

point to experience the CMS User Interface. 2. As another option, you can set up the project using docker [https://www.django- cms.org/en/blog/2021/01/19/how-you-spin-up-a-django-cms-project-in-less-than-5-minutes/] quickstart The django CMS quickstart project is a template for a Docker-based production- ready setup. Especially if you know your way around Docker, you will be able to quickly set up a project that is ready locally without Docker, you can install django CMS by hand in a few steps. Setup Docker (Step 1) Install docker from here [https://docs.docker.com/get-docker/]. If you have not used docker in the past, please

point to experience the CMS User Interface. 2. As another option, you can set up the project using docker. It is a good way for a developer locally without an external vendor and we use this option in this quickstart The django CMS quickstart project is a template for a Docker-based production-ready setup. Especially if you know your way around Docker, you will be able to quickly set up a project that is ready without Docker, you can install django CMS by hand in a few steps. Setup Docker (Step 1) Install docker from here. If you have not used docker in the past, please read this introduction on docker. Run

point to experience the CMS User Interface. 2. As another option, you can set up the project using docker. It is a good way for a developer locally without an external vendor and we use this option in this quickstart The django CMS quickstart project is a template for a Docker-based production-ready setup. Especially if you know your way around Docker, you will be able to quickly set up a project that is ready without Docker, you can install django CMS by hand in a few steps. Setup Docker (Step 1) Install docker from here. If you have not used docker in the past, please read this introduction on docker. Run

有安装成功，现将安装过程及注意事项进行整理，供参考！！！ 系统要求： 1、8c 32G 2、windows 纯净版（没有其他系统软件） 安装过程 ·安装 WSL ·安装 Ubuntu ·Docker 安装与配置 ·下载安装包 Windows11 下载安装 MeterSphere 社区版本踩坑指南  作者：M&T. 25 《51 测试天地》七十四 www.51testing.com 3、Ubuntu 切换 root 用户 三 Docker 安装与配置 1、什么是 Docker Docker 是一种容器化平台，可以将应用程序及其所有依赖项封装成独立的可移植容 器，实现快速部署、可扩展和跨环境运行。 2、安装过程 下载地址 https://desktop.docker.com/win/main/amd64/Docker%20Desktop%20Installer.exe exe 28 《51 测试天地》七十四 www.51testing.com 双击 Docker Desktop Installer.exe 完成 docker 的安装。 3、配置操作 Docker Desktop 安装完成后，进入 Settings 界面，选择 Resources 菜单下的 WSL INTEGRATION，按下图设置后，点击右下角的 Apply & Restart。 29

normal Python package. This means that you can take existing Python packages or Django apps and compose them into your own web project. You only need to write the parts that make your project unique. to the following SQL WHERE clause: WHERE question LIKE 'Who%' OR question LIKE 'What%' You can compose statements of arbitrary complexity by combining Q objects with the &, |, and ^ operators and use back its response. GET, by contrast, bundles the submitted data into a string, and uses this to compose a URL. The URL contains the address where the data must be sent, as well as the data keys and values

normal Python package. This means that you can take existing Python packages or Django apps and compose them into your own web project. You only need to write the parts that make your project unique. to the following SQL WHERE clause: WHERE question LIKE 'Who%' OR question LIKE 'What%' You can compose statements of arbitrary complexity by combining Q objects with the &, |, and ^ operators and use back its response. GET, by contrast, bundles the submitted data into a string, and uses this to compose a URL. The URL contains the address where the data must be sent, as well as the data keys and values

normal Python package. This means that you can take existing Python packages or Django apps and compose them into your own web project. You only need to write the parts that make your project unique. to the following SQL WHERE clause: WHERE question LIKE 'Who%' OR question LIKE 'What%' You can compose statements of arbitrary complexity by combining Q objects with the &, |, and ^ operators and use back its response. GET, by contrast, bundles the submitted data into a string, and uses this to compose a URL. The URL contains the address where the data must be sent, as well as the data keys and values

just a Python package. This means that you can take existing Python packages or Django apps and compose them into your own web project. You only need to write the parts that make your project unique. to the following SQL WHERE clause: WHERE question LIKE 'Who%' OR question LIKE 'What%' You can compose statements of arbitrary complexity by combining Q objects with the & and | operators and use parenthetical back its response. GET, by contrast, bundles the submitted data into a string, and uses this to compose a URL. The URL contains the address where the data must be sent, as well as the data keys and values