


Install Python Flask: Get your web app started successfully
Python Flask is a lightweight web application framework that uses Python as the main development language. It is simple and flexible, suitable for quickly building web applications. In this article, we will introduce how to install and configure Python Flask, and provide some specific code examples to help you quickly launch your web application.
1. Install Python Flask
To install Python Flask, you first need to make sure that Python is installed on your machine. You can check whether Python is installed by entering the following command in the terminal:
python --version
If Python is already installed, you will see the version number of Python. If it is not installed, you can download and install the latest version from Python's official website.
After installing Python, we can use pip (Python's package management tool) to install Flask. Just enter the following command in the terminal:
pip install flask
After the installation is complete, you can start using Python Flask to build web applications.
2. Simple example
To help you get started with Python Flask quickly, we provide a simple example code. First, create a file named app.py in your project folder and enter the following code in it:
from flask import Flask # 创建Flask应用对象 app = Flask(__name__) # 定义路由 @app.route('/') def hello_world(): return 'Hello, World!' # 启动应用 if __name__ == '__main__': app.run()
In the above code, we first imported the Flask module and created a Flask application object . Then, we define a route that when accessing the root path '/', the hello_world() function will be executed and a simple string will be returned. Finally, we call the app.run() method to start the application.
Save and run the app.py file, you will see some information output from the terminal, telling you that the Flask application is already running. You can visit http://localhost:5000/ in the browser and you will see the sentence "Hello, World!" displayed on the web page.
3. More complex examples
Python Flask can not only return simple strings, but also create more complex web applications. Here is a more complex example code that shows how to create a simple blogging application in Flask:
from flask import Flask, render_template, request app = Flask(__name__) # 定义主页路由 @app.route('/') def index(): return render_template('index.html') # 定义博客详情页路由 @app.route('/blog/<int:blog_id>') def blog_detail(blog_id): # 通过 blog_id 查询数据库获取博客详情 # ... return render_template('blog_detail.html', blog=blog) # 定义搜索路由 @app.route('/search', methods=['POST']) def search(): keyword = request.form.get('keyword') # 通过关键字搜索数据库获取相关博客 # ... return render_template('search_result.html', blogs=blogs) if __name__ == '__main__': app.run()
In the above code, we have created three different routes. The homepage route ('/') returns an HTML template, and the blog details page route ('/blog/
You need to use a template language to write HTML templates. Here we use the Jinja2 template engine built into Flask. You can learn more about how to use Jinja2 in the official documentation. In addition, you also need to install Flask's dependency packages Flask-Jinja2 and Flask-WTF through pip.
Run the sample code and you can see different pages by accessing different routes. You can extend and improve this blogging application according to your needs.
Summary
This article introduces how to install Python Flask and provides some simple and complex sample code. Python Flask is a very simple and flexible web application framework, suitable for quickly building various types of web applications. I hope this article can help you quickly get started with Python Flask and start your own web application.
The above is the detailed content of Install Python Flask: Get your web app started successfully. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
