Home Backend Development Python Tutorial Can python be used as an app?

Can python be used as an app?

Jun 26, 2019 pm 01:07 PM
python

Although the python language is very versatile, it is still a bit wrong to use it to develop apps. Therefore, apps developed with python should be used as coding exercises or for self-entertainment. In addition, the current modules in this area are not special. It is mature and has many bugs. All in all, I advise you not to enter it lightly.

Can python be used as an app?

Preparation work (Recommended study: Python video tutorial)

Required for developing apps using python A module of python – kivy, kivy is an open source, cross-platform Python development framework for developing innovative applications. In short, this is a python desktop program development framework (similar to wxpython and other modules). The powerful thing is that kivy supports linux, mac, windows, android, and ios platforms. This is why this module is needed to develop apps.

Although kivy is cross-platform, if you want to use python code on different platforms, you also need to package the python code into an executable program for the corresponding platform. Fortunately, there is a packaging tool project under the kivy project – buildozer , this is the officially recommended packaging tool because it is relatively simple and has a high degree of automation. Other projects such as python-for-android can also play a similar role and will not be introduced here.

Develop the first python app with kivy

After installing kivy, you can develop the app program. Here is a demonstration of the hello-world program, about the more complex usage of kivy. It is not the focus of this article and will be introduced later.

1) Create a main.py file and write:

#! -*- coding:utf-8 -*-
from kivy.app import App
class HelloApp(App):
    pass
if __name__ == '__main__':
    HelloApp().run()
Copy after login

2) Create a hello.kv file and write:

Label:
    text: 'Hello, World! I am nMask'
Copy after login

Simple description: main.py It is the entry function and defines a HelloApp class, which inherits kivy.app; the hello.kv file is a kivy program, which is equivalent to defining the interface style, etc. The naming rule of this file is that the class name is lowercase and app is removed.

Run the first python app

python main.py
Copy after login

For more Python related technical articles, please visit the Python Tutorial column to learn!

The above is the detailed content of Can python be used as an app?. 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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

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)

PHP and Python: Code Examples and Comparison PHP and Python: Code Examples and Comparison Apr 15, 2025 am 12:07 AM

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 vs. JavaScript: Community, Libraries, and Resources Python vs. JavaScript: Community, Libraries, and Resources Apr 15, 2025 am 12:16 AM

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.

Detailed explanation of docker principle Detailed explanation of docker principle Apr 14, 2025 pm 11:57 PM

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.

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.

How to run programs in terminal vscode How to run programs in terminal vscode Apr 15, 2025 pm 06:42 PM

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.

What is vscode What is vscode for? What is vscode What is vscode for? Apr 15, 2025 pm 06:45 PM

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages ​​and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

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.

See all articles