Home Backend Development Python Tutorial Flask and Sublime Text integration: Python web application development tips (Part 6)

Flask and Sublime Text integration: Python web application development tips (Part 6)

Jun 17, 2023 pm 04:08 PM
python sublime flask

Flask and Sublime Text Integration: Python web application development tips (Part 6)

Both Sublime Text and Flask are important tools in Python web application development. However, how to integrate the two to make the development process more efficient? This article will introduce some Sublime Text plug-ins and configuration techniques to help you develop Flask applications more conveniently.

1. Install the Sublime Text plug-in

  1. Flask plug-in

By installing the Flask plug-in, you can automatically complete the Flask framework in the Sublime Text editor code. Select Preferences > Package Control in the Sublime Text menu, search for "Flask" and install the plug-in.

  1. SublimeCodeIntel plug-in

Installing the SublimeCodeIntel plug-in can automatically prompt and complete Python codes, and also supports multiple languages, including JavaScript, HTML, CSS, etc. Again, select Preferences > Package Control in the menu, search for "SublimeCodeIntel" and install the plug-in.

  1. DocBlockr Plugin

DocBlockr plugin makes it easy to write documentation comments. Select Preferences > Package Control in the menu, search for "DocBlockr" and install the plug-in.

2. Sublime Text configuration

  1. Installing Python interpreter

Sublime Text needs to be used in conjunction with the Python interpreter. Therefore, you need to install the Python interpreter first.

  1. Configuring Build System

In Sublime Text, Build System can help you run Python scripts and view the output. Press Ctrl Shift B to select Python as the Build System so you can run the Flask application in Sublime Text.

  1. Configure Sublime Text project

Create a project in Sublime Text and select Project > Edit Project. Add the following code to the file:

{
"folders":
[

{
  "follow_symlinks": true,
  "path": "."
}
Copy after login

],
"settings":
{

"python_interpreter": "path/to/python",
"python_interpreter_path": "path/to/python"
Copy after login

}
}

Replace "path/to/python" with your own Python interpreter path. In addition, you also need to modify "path" to point to the path of the Flask application.

  1. Configuring Sublime Text environment variables

If you use a Python virtual environment in your Flask application, you can set environment variables in Sublime Text. Select Tools > Build System > New Build System in the Sublime Text menu and add the following code:

{
"cmd": ["source", "path/to/virtualenv/bin/activate ", "&&", "python", "-u", "$file"],
"shell": true,
"working_dir": "$project_path",
"env": { "PYTHONIOENCODING": "utf-8"}
}

Replace "path/to/virtualenv" with the path of your own virtual environment.

Summary

With the above configuration and plug-ins, you can develop Flask applications in Sublime Text more easily. Utilize the auto-prompt and auto-completion functions to greatly improve coding efficiency, and it is also more convenient to run and debug Flask applications.

The above is the detailed content of Flask and Sublime Text integration: Python web application development tips (Part 6). For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

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.

Is the vscode extension malicious? Is the vscode extension malicious? Apr 15, 2025 pm 07:57 PM

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.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

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.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

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.

Golang vs. Python: Concurrency and Multithreading Golang vs. Python: Concurrency and Multithreading Apr 17, 2025 am 12:20 AM

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

Can visual studio code run python Can visual studio code run python Apr 15, 2025 pm 08:00 PM

VS Code not only can run Python, but also provides powerful functions, including: automatically identifying Python files after installing Python extensions, providing functions such as code completion, syntax highlighting, and debugging. Relying on the installed Python environment, extensions act as bridge connection editing and Python environment. The debugging functions include setting breakpoints, step-by-step debugging, viewing variable values, and improving debugging efficiency. The integrated terminal supports running complex commands such as unit testing and package management. Supports extended configuration and enhances features such as code formatting, analysis and version control.

Can vs code run python Can vs code run python Apr 15, 2025 pm 08:21 PM

Yes, VS Code can run Python code. To run Python efficiently in VS Code, complete the following steps: Install the Python interpreter and configure environment variables. Install the Python extension in VS Code. Run Python code in VS Code's terminal via the command line. Use VS Code's debugging capabilities and code formatting to improve development efficiency. Adopt good programming habits and use performance analysis tools to optimize code performance.

Golang vs. Python: Key Differences and Similarities Golang vs. Python: Key Differences and Similarities Apr 17, 2025 am 12:15 AM

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

See all articles