最近在学习 PyQt，因为不大懂设计，想找一些颜值高的应用借鉴一下别人的想法，最好是小而美并且开源的，PyQt/Qt/Qml 都可以，蟹蟹~
回复内容：
这是我大一时候写的音乐播放器
这是大二写的社交软件（当然服务端没花心思搞界面）：
用的都是C++/Qt5
播放器大概3k行
社交软件有1w+行
所以，想要界面漂亮，找个靠谱的设计师队友很重要。
--------------------2016--2--5--update-------------------------
播放器已经开源，欢迎star和fork：
https://github.com/FreedomZZQ/IcePlayer 先不要脸的推荐一下我自己写的几个PyQt玩意儿
1.模仿Mac虾米的客户端，还没有写完，PyQt4，Python2
GitHub - harry159821/XiamiForLinuxProject: Xiami For Linux Project
后面两个布局就没这个强度了2.给Drrr的简单客户端，PyQt5, Python2
GitHub - harry159821/DrrrClient: DrrrClient For PC
B站展示视频 无头骑士Drrr网页电脑版客户端
网页介绍 Drrr PC Client
其实只是个浏览器，里面都是 网页3.给一个电表写的显示，PyQt4，Python2
GitHub - harry159821/TDM1001UpMachine: TDM1001UpMachine
其他作品
1.网易云音乐 ubuntu 第三方客户端，PyQt5 Python3
GitHub - cosven/FeelUOwn: nothing but the alternate
2.Windows虾米客户端 Qt4，C++
第一次答，有不正请见谅，有再见好项目再更
好的设计确实很重要 Qt自己带的那个Demo就很帅啊 现在真心是觉得，该设计师来做的事还是交给设计师来做。
这个我自己弄的，并且是改了三个版本之后达到这个样子的。
现在要是去看第一个版本的 About 页面估计能丑哭。
后来有设计师帮我设计了一般，变成了这样：
在程序里面看起来差别真的是非常大。
所以，界面这种东西，完全是拼的设计师。
qt5 cinematic experience demo可以在pc, android等qt支持的平台上运行，在mi3上亲测过，效果十分华丽。
还有同作者的其他demo，都有源码。
看完之后我觉得这辈子也写不出这样质感的程序，深深的无力感。
还有个用java写的，spine skeletal animation editor，用于游戏的2d骨骼动画制作程序，也有同感。
暴雪的战网 http://battle.net啊！
KDE ，这一个还不够？
wps office，stellarium，google earth，eric python IDE。
Photoshop。。。。
Python vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AMPython is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.
Python vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AMPython and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.
Python for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AMPython's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.
Python and C : Finding the Right ToolApr 19, 2025 am 12:04 AMWhether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.
Python for Data Science and Machine LearningApr 19, 2025 am 12:02 AMPython is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.
Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AMIs it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AMKey applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
Python vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AMPython is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
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
WebStorm Mac version
Useful JavaScript development tools
EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function
PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
SublimeText3 English version
Recommended: Win version, supports code prompts!
