是 Django 的扩展，用于快速构建 RESTful API 接口。通过 Rest Framework，可以定义 API 视图和序列化器，实现数据的序列化和反序列化，从而方便地 与前端进行数据交互。 MySQL 是一个关系型数据库，用于存储后端的数据。 前端开发（Vue+Element UI）： Vue 是一种现代的 JavaScript 框架，用于构建用户界面。Vue 提供了丰富的组件和模 前端通过 HTTP 请求向后端发送数据请求，后端根据请求进行相应的数据处理，并 返回响应数据给前端。 前端接收到后端返回的数据，并根据数据更新页面展示，实现与用户的交互。 总体而言，这种前后端分离的开发模式有助于实现前后端开发的解耦，使得各自的 开发工作更加专注和高效。前端负责用户界面的呈现和交互，后端负责数据处理和业务 逻辑，通过 API 接口进行数据传输和交互，从而实现一个完整的 Web 51testing.com 二、搭建流程 2.1 后端搭建流程 安装相关包->创建工程->后端依赖（pipenv）创建虚拟环境->后端服务配置启动->后 端创建子应用->后端 Rest Framework->数据库配置 简要说明： 安装相关包：在开始之前，首先需要安装 Python 和 pip，然后安装 Django 等相关包， 可以使用 pip 命令来安装。 创建工程：使用 Django 的命令行工具创建

内容简要介绍了如何使用 Django 实现一个数据库驱动的 Web 应用。 为了让您充分理解 Django 的工作原理，这份文档为您详细描述了相关的技术细节，不过这并不是 一份入门教程或者是参考文档（我们当然也为您准备了这些）。如果您想要马上开始一个项目，可以 从 实例教程（zh）开始入手，或者直接开始阅读详细的参考文档。 Django 无需数据库就可以使用，它提供了对象关系映射器（ORM）。通过此技术，你可以使用 。通过此技术，你可以使用 Python 代码来描述数据库结构。 数据模型语法提供了很多方法来描述你的数据，这解决了多年来在数据库模式中的难题。以下是一个 简明的例子： 1. # mysite/news/models.py 2. 3. from django.db import models 4. 5. class Reporter(models.Model): 6. full_name headline 然后，运行 Django 命令行工具来创建数据库表。 1. $ python manage.py migrate migrate 命令会查找所有可用的模型，如果数据库中没有与之对应的表，则会为其自动创建。 Django 也提供了其他更丰富的控制方式。 接下来，你就可以使用一套便捷而丰富的 Python API 用于访问你的数据。这些 API 是自动即时 创建的，你不用编写其他任何代码。

possible to store JSON scalar null instead of SQL NULL by using Value(None, JSONField()). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null org/3/library/stdtypes.html#dict], it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name="Max" data=None) # SQL NULL. >>> Dog.objects.create(name="Archie", data=Value(None, JSONField())) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects

possible to store JSON scalar null instead of SQL NULL by using Value(None, JSONField()). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null org/3/library/stdtypes.html#dict], it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name="Max" data=None) # SQL NULL. >>> Dog.objects.create(name="Archie", data=Value(None, JSONField())) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects

possible to store JSON scalar null instead of SQL NULL by using Value(None, JSONField()). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null org/3/library/stdtypes.html#dict], it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name="Max" data=None) # SQL NULL. >>> Dog.objects.create(name="Archie", data=Value(None, JSONField())) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects

possible to store JSON scalar null instead of SQL NULL by using Value(None, JSONField()). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null None is inside a list or dict, it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name="Max" data=None) # SQL NULL. >>> Dog.objects.create(name="Archie", data=Value(None, JSONField())) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects.

possible to store JSON scalar null instead of SQL NULL by using Value('null'). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null is the None is inside a list or dict, it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name='Max' create(name='Max', data=None) # SQL NULL. >>> Dog.objects.create(name='Archie', data=Value('null')) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects.

possible to store JSON scalar null instead of SQL NULL by using Value('null'). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null is the None is inside a list or dict, it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name='Max' create(name='Max', data=None) # SQL NULL. >>> Dog.objects.create(name='Archie', data=Value('null')) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects

possible to store JSON scalar null instead of SQL NULL by using Value('null'). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null is the None is inside a list or dict, it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: >>> Dog.objects.create(name='Max' create(name='Max', data=None) # SQL NULL. >>> Dog.objects.create(name='Archie', data=Value('null')) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects.

possible to store JSON scalar null instead of SQL NULL by using Value('null'). Whichever of the values is stored, when retrieved from the database, the Python representation of the JSON scalar null is the None is inside a list or dict, it will always be interpreted as JSON null. When querying, None value will always be interpreted as JSON null. To query for SQL NULL, use isnull: 122 Chapter 3. Using Django create(name='Max', data=None) # SQL NULL. >>> Dog.objects.create(name='Archie', data=Value('null')) # JSON null. >>> Dog.objects.filter(data=None) ]> >>> Dog.objects