<1>flask:安装 flask 及其依赖 <2>flask_sqlalchemy,pymysql:用Flask对象初始化SQLAlchemy,可以在flask项目中使用MTV模式进行各种对数据库的操作 <3>flask_migrate,flask_script:用于数据库的迁移操作,其中flask_script用来设置应用程序通过指令操作;flask_migrate导入数据库迁移类和
requestapp=Flask(__name__)app.config['JSON_AS_ASCII']=False# 禁止中文转义@app.route("/user/...
$ mkdir flask-tutorial $cdflask-tutorial Then follow the installation instructions to set up a Python virtual environment and install Flask for your project. 然后参考安装指引设置一个派森虚拟环境,并为项目按照 Flask。 参考:格瑞图:Python 可以做什么?0011-Flask 网站开发-环境安装 The tutorial will assum...
前面我们了解了 Flask 框架的特性和一些用法,比如创建一个简单应用、做些页面,以及增加鉴权模块等,如果要将 Flask 用于实际项目开发,还需要了解一下 Flask 项目结构。 Flask 是一个轻量级的 Web 框架,扩展性强,灵活性高,容易上手,不过 Flask 没有给出明确的项目结构,而是让开发者根据实际需求,创建适合自己的项目...
How to create a swagger documentation with Flask? Now that we’ve considered some basic functionalities to have basic endpoints created with Flask, let’s create a better project structure for our endpoints. Everyone knows the guy is right, but it can be a boring process. Fear not...
原文地址:https://stackoverflow.com/questions/41750366/build-docker-image-of-a-python-flask-app I'm trying to build a Docker image for a Python Flask app but having build problems - all files live in a folder called web - this is the project structure: web/ __init__.py app.py Docker...
/static: This folder contains all the static files of the application, such as images, videos, logos, and icons. If the project is a web application, thestaticfolder will also contain CSS and JavaScript files. One can find this folder in Django and Flask applications. ...
这个文件的格式是每一行包含一个包依赖的说明,通常是flask>=0.10这种格式,要求是这个格式能被pip识别,这样就可以简单的通过pip install -r requirements.txt来把所有Python包依赖都装好了。具体格式说明:点这里。 README 项目说明文件。 它需要说明以下几个事项: ...
$pythonflask_skeleton.pynew_project-sskeleton-b'angular, jquery, bootstrap'-g-v You should see something like: Shell Welcome! The following settings will be used to create your application:Python Version: 3.5.1Project Name: new_projectProject Path: /Users/michael/repos/realpython/flask-scaffold...
1. Create a new Python project 2. Write and run code 3. Use the interactive REPL window 4. Run code in the debugger 5. Install packages & manage Python environments 6. Work with Git Learn Django in Visual Studio Learn Flask in Visual Studio ...