ArjanCodes’ Post

I used to hate Python. Coming from C++ and Java, it felt fragile, inconsistent, and way too forgiving. Indentation defines scope, types are optional, performance isn’t great… and don’t get me started on packaging. The interesting part is: most of those things are still true. In today’s video, I talk about why I still use Python anyway, and the bigger lesson behind it. At some point, you realize it’s not about finding the “best” language. It’s about understanding trade-offs and choosing the right tool for the problem you’re solving. If you want to grow as a developer, that shift in thinking matters much more than the language you use. 👉 Watch here: https://lnkd.in/eJtP_jHF. #python #softwareengineering #programming #developers #careergrowth

Switching from Python to Java: Coming from a Python-heavy background, working with Java has been a real shift in perspective. In Python, a lot is taken care of for you through powerful high-level abstractions. You can move quickly, write less code, and focus on solving problems. But Java? It makes you slow down in a good way. You start paying attention to details you might have overlooked before: type definitions, structure, and the mechanics behind what your code is actually doing. It demands more explicitness, more discipline, and a deeper level of understanding. And that’s the beauty of it. Different languages, different strengths, but stepping outside your comfort zone is where real growth happens. https://lnkd.in/deNbabM5 #Java #Python #SoftwareEngineering #CodingJourney #LearningToCode

Why I chose Python over "Curly Brace" Drama In the world of C++ and Java, there’s a lot of talk about performance and syntax. But while some are still hunting for a missing semicolon, Python developers are already shipping products. Why we love the Snake: No curly brace nightmares. Libraries that do the heavy lifting for you. A community that values "Chill" over "Complexity." If you need extreme speed, call C++. If you need to build the next big AI model or a seamless web app, Python is your best friend. Are you Team Python or Team Java? (No wrong answers, but we know who’s more relaxed!) #TechHumor #Programming #PythonVsJava #DeveloperCommunity #Coding #Python #FullStack #SoftwareDeveloper

From simple cout in C++, to clean print in Python, to the legendary System.out.println in Java… Every language has its own “style,” but the goal remains the same: getting logic to speak. Sometimes it’s not about complexity — it’s about how elegantly (or painfully) you express it. #Programming #CodingLife #SoftwareDevelopment #Java #Python #CPP #Developers #CodingHumor #TechLife #ProgrammerHumor #ComputerScience #Debugging #CodeNewbie #LearnToCode #DevCommunity

🔹 Method Overloading in Python — Not What You Expect! Unlike languages like Java or C++, Python doesn’t support traditional method overloading (same method name with different parameters). But that doesn’t mean we can’t achieve similar behavior 👇 💡 Python handles this dynamically using: 1. Default arguments 2. *args and **kwargs 3. Conditional logic inside methods 🔧 Example: class Calculator: def add(self, a, b=0, c=0): return a + b + c calc = Calculator() print(calc.add(5)) # 5 print(calc.add(5, 10)) # 15 print(calc.add(5, 10, 20)) # 35 Here, a single method adapts based on inputs — that’s Python’s way of “overloading”. ⚡ Key takeaway: Python focuses on flexibility over strict method signatures. #Python #Programming #Coding #Automation #SoftwareTesting #Developers #QA #TechLearning

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗥𝗲𝗰𝘂𝗿𝘀𝗶𝗼𝗻 You want to learn about recursion. Here are some simple examples to help you understand it. - Reverse a number: You can use recursion to reverse a number. - Count digits: Recursion can also be used to count the digits in a number. - Even or odd: You can use recursion to check if a number is even or odd. - Sum of digits: Recursion can be used to calculate the sum of digits in a number. These examples will help you learn about recursion. You can practice them in different programming languages like Python, Java, and JavaScript. Source: https://lnkd.in/gMgTSgbs

In Java, private means private. In Python, it means: “I trust you not to look.” I was exploring encapsulation and discovered something interesting. In Java, access is enforced. In Python, it’s… negotiated. A double underscore (__attr) doesn’t truly hide anything. It just renames it. Which means: You *can* still access it — if you know how. That realization changed how I think about class design. Java protects the code. Python trusts the developer. Two different philosophies. Which one do you prefer? 👇 Curious to hear your perspective #Python #Java #OOP #SoftwareEngineering #LearningInPublic

🐍📰 A Beginner’s Guide to the Python time Module In this tutorial, you'll learn how to use the Python time module to represent dates and times in your application, manage code execution, and measure performance #python

🐍 Access Modifiers in Python — What Every Developer Should Know! Coming from Java or C++? You might expect Python to have strict private and public keywords. It doesn't — and that's by design. 🎯 Python uses a naming convention to signal access intent: 1️⃣ Public → self.name Accessible from anywhere. The default for all attributes and methods. 2️⃣ Protected → self._name Single underscore. A gentle signal for "internal use" — still accessible, but handle with care. 🔓 3️⃣ Private → self.__name Double underscore triggers name mangling → _ClassName__name. Harder (but not impossible) to access from outside. 🔒 💡 Python's philosophy: "We're all consenting adults here." It trusts developers to respect conventions rather than enforcing hard rules. Understanding this is key to writing clean, maintainable, Pythonic OOP code. #Python #PythonProgramming #OOP #ObjectOrientedProgramming #SoftwareEngineering #CodeNewbie #PythonDeveloper #Programming #TechLearning #CleanCode #100DaysOfCode #LearnPython #BackendDevelopment #DevTips #PythonTips

*Why Python is still the #1 choice for beginners and pros alike 🐍* Python isn’t just popular - it’s powerful because of what it offers: ✅ *Free & Open Source* – No license costs, community-driven growth ✅ *Interpreted, not Compiled* – Run code instantly, debug faster ✅ *High Level Language* – Focus on solving problems, not memory management ✅ *Portable* – Write once, run anywhere ✅ *Object Oriented* – Clean, modular, reusable code ✅ *Large Standard Library* – “Batteries included” for almost every task ✅ *Dynamically Typed* – Flexible and faster to prototype ✅ *Extensible* – Easily integrate with C, C++, Java when you need speed Whether you're starting your coding journey or building enterprise-grade ML models, Python scales with you. What’s your favorite Python feature? Drop it below 👇 #Python #Programming #Coding #SoftwareDevelopment #DataScience #MachineLearning #WebDevelopment #TechSkills #LearnToCode #OpenSource #Developers #TechCommunity #CodingLife #PythonDeveloper