🧑💻 Curious about how to securely run AI-generated code? Learn how to build a Python application that uses GitHub Copilot CLI running in a Koyeb Sandbox! Watch the full video 👉 https://lnkd.in/dxtpjztm

If you understand these 4 concepts… You understand 70% of Object-Oriented Programming. Encapsulation → Data hiding Inheritance → Code reusability Polymorphism → Overloading & Overriding Abstraction → Interfaces & Abstract classes OOP is not just theory. It’s how real-world software is designed. From small Python projects to large-scale systems — everything depends on these pillars. Are you confident with all four? #LearnToCode #PythonProgramming #OOPConcepts #SoftwareEngineer #CodingJourney

* Day 14: Abstraction in Python Continuing my OOP journey, today I explored Abstraction one of the core pillars of Object-Oriented Programming. * Abstraction helps us hide complex implementation details and focus only on essential functionalities. It makes our code more secure, scalable, and easier to maintain. * Real-world systems like ATM machines are great examples we use them without knowing their internal working. * Key Takeaways: - Focus on "what" instead of "how" - Use Abstract Classes and Methods - Improves code structure and readability Consistency is the key learning something new every day #Python #OOP #Abstraction #CodingJourney #Day14 #LearningInPublic

Rust vs Python vs Node.js Speed Comparison on ZIP Image Loading Benchmark Created by Lycoris52 When I previously created a manga viewer application in Rust called RustMangaReader, the most important thing for considering which programming language to be used was loading speed. So I need to test which programming language is the fastest. If you are interested in the manga viewer itself, it'... link https://lnkd.in/ebabgYzt pubDate Wed, 04 Mar 2026 14:26:01 +0000

"𝐅𝐢𝐧𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐭 𝐭𝐡𝐞 𝐭𝐨𝐨𝐥 𝐞𝐯𝐞𝐫𝐲 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐬𝐞𝐜𝐫𝐞𝐭𝐥𝐲 𝐰𝐚𝐧𝐭𝐬." 👀 A small CLI that runs your Python script, reads the stack trace, checks the git history, and prints a Root Cause Analysis like this. Basically… When the code breaks, it politely tells who last touched that line. 😄 Just a small fun experiment using logs + git blame and some AI. #python #git #developerhumor #devtools #programming #softwareengineering

💡 Turning Python into Power Control! I developed a stylish Shutdown Control Panel using Python & Tkinter that gives full system power management through a simple GUI. 🎨 Designed multiple UI themes 🧠 Implemented timer logic ⚙ Integrated system commands Small projects like these build strong foundations in real-world programming.🚀 #PythonDeveloper #Tkinter #GUIProject #Internpe #StudentDeveloper #TechLearning

🐍 Python For Loop — Repeat Tasks Automatically 🔁 A for loop lets your program run the same code multiple times — without writing it again and again. for i in range(5): print(i) ✅ Output: 0 1 2 3 4 💡 How it works: ✔️ range(5) generates numbers from 0 to 4 ✔️ Loop runs once for each number ✔️ i stores the current value each time 🔥 Why this is powerful: • Print lists of data • Process files • Run tasks repeatedly • Build games & apps 🚀 Loops turn your code from manual work into automation. Master loops = Real programming begins 💪 #Python #Coding #Programming #LearnToCode #Developer #100DaysOfCode

Just wrapped up a new Python project! I built a 10-question True/False Quiz Game to dive deeper into Object-Oriented Programming. Under the hood, I structured the logic using classes, objects, and attributes to keep the codebase clean and modular. Check out the gameplay demo below! 👇 https://lnkd.in/eGPpTyPM

Want to build a desktop app that controls your Arduino hardware? In this video, we’ll show you how to use Python’s Tkinter GUI to send serial commands to an Arduino UNO—perfect for beginners and hobbyists! watch the video find the link below. https://lnkd.in/gTJVsw6f

Headline: Day 13/100: The Art of Debugging! Every programmer loves building new things, but today I focused on a much more important skill: Fixing what’s broken. Day 13 was all about the "Code Detective" life—Debugging. What I mastered today: Identifying Bug Patterns: Understanding why a program doesn't do what we expect. The "Print" Strategy: Using print statements to track variable values at every step. Common Pitfalls: Spotting IndexErrors, TypeErrors, and the tricky IndentationErrors. Edge Cases: Thinking about those rare scenarios where the code might fail. Programming isn't just about writing code; it's about problem-solving and persistence. Today’s session made me much more confident in reading and understanding error messages. Check out my growing repository of projects here: https://lnkd.in/gyad3KVM #Python #100DaysOfCode #Debugging #ProblemSolving #SoftwareEngineering #CodeNewbie