Python web development environment setup tutorial
Python is a high-level programming language. Because of its cross-platform, easy-to-learn, and powerful features, some large companies, such as Google, Dropbox, etc., choose to use Python for development. As Web applications have gradually become mainstream applications in recent years, Python has gradually become the preferred development language for Web applications.
This article will introduce how to set up a Python web development environment on a Windows system, including Python installation, virtual environment settings, Django framework installation and creation of a basic Django project.
- Installation of Python
First, you need to install Python on your machine. You can download the latest version of Python from Python's official website https://www.python.org/downloads/ or install Python using Anaconda https://www.anaconda.com/products/individual.
- Virtual environment settings
In order to prevent version and dependency conflicts between python packages between different projects, we need to create a virtual environment for each project. Open the command line window and enter the project folder:
$ cd project_folder
Then use the pip command to install virtualenv:
$ pip install virtualenv
Create a new virtual environment as follows:
$ virtualenv venv
Among them, venv is the name of the virtual environment. After executing the above command, a directory named venv will be created in the current directory, which contains a complete Python environment.
Enter the virtual environment:
$ source venv/Scripts/activate
The command to activate the environment on Windows is as follows:
$ venvScriptsctivate.bat
After running the above command, the prefix of the current command line window will become (venv) , indicating that the virtual environment has been activated.
Finally, use the following command to exit the virtual environment:
$ deactivate
- Installation of Django framework
After activating the virtual environment, you can use the following command to install Django Framework:
$ pip install django
Use the following command to check the Django version:
$ python -m django --version
- Create a Django project
Use the Django command line tool to create a Django project:
$ django-admin startproject mysite
Where, mysite is the name of the project.
After executing the above command, a mysite folder will be created in the current directory, which is the root directory of the Django project.
Enter this directory and start the Django Web server:
$ cd mysite $ python manage.py runserver
After starting the local server, you can enter http://127.0.0.1:8000 in the browser to access the Django website.
Next, you can perform some configurations in the mysite/settings.py file, such as database configuration, language configuration, etc.
At this point, you have established a Django web development environment. I wish you good luck and happiness in developing web applications with Django.
The above is the detailed content of Python web development environment setup tutorial. 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

AI Hentai Generator
Generate AI Hentai for free.

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 and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
