python
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Linux
Metaclasses in Python
💡 Metaclasses in Python are essential for several reasons: ✨ Customization: They allow you to automatically modify or enhance class definitions during creation, ensuring consistency and reducing boilerplate code. 🔧 Automation: Metaclasses can automate repetitive tasks, such as registering classes or adding methods, making your code more maintainable and less error-prone. 🚀 Dynamic Functionality: With metaclasses, you can dynamically add…
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Linux
Python 01 How to Install Python on Windows, Linux, and Mac
#atharhashmisir #python How to Install Python on Windows, Linux, and Mac Introduction: Briefly introduce the video. Explain what Python is and why it’s important to have it installed on your system. Section 1: Installing Python on Windows Download Python: Open your web browser and go to the official Python website ( Navigate to the “Downloads” section and select the version…
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Linux
Automate Disk Space Monitoring on Linux | Bash Script Tutorial for System Admins
🔧 Welcome to another episode in our Bash Scripting series! In this tutorial, we’re focusing on an essential task for every Linux system administrator: automating storage checks with a straightforward bash script. What You’ll Learn: In this video, I’ll guide you through creating a bash script that automates the process of monitoring disk usage on your Linux system. This is…
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Linux
pygame havai fişek animasyonu
bu videoda python içindeki pygame modülünü kullanarak bir havai fişek animasyonu yaptık [ad_2] source
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Linux
Dataclass in Python
Dataclasses in Python ✅ are incredibly beneficial for streamlining class creation tasks. They efficiently generate special methods such as init() and repr(), saving developers time and effort ✔️. By reducing the need for boilerplate code, dataclasses make codebases cleaner and more concise, leading to improved readability and maintainability 📝. Moreover, they enhance code clarity by allowing developers to focus solely…
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Linux
Decorators in Python
Using decorators in Python is vital for 🎯 streamlining code development and improving overall code quality. 🚀 They offer a powerful mechanism for enhancing function behavior 🔄 without cluttering the core logic. With decorators, repetitive tasks like input validation, error handling, or performance monitoring can be encapsulated in reusable components, fostering code reusability and scalability. 🌟 They facilitate the implementation…
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