Python gets reactive with reaktiv library

🚀 JavaScript Destructuring or Python Unpacking — Same Mindset Different syntax, Different symbols. But often…… the same core idea. 🟨 JavaScript — Destructuring with ... 🟦 Python — Unpacking with * and ** 🔎 JavaScript Approach JavaScript uses ... for two main purposes: • Rest → Collect remaining values • Spread → Expand existing values One operator, two behaviors — depending on context. 🔎 Python Approach Python uses: • * → For unpacking lists/tuples and collecting remaining values • ** → For unpacking dictionaries The idea is identical to JavaScript — only the symbols change. Examples in the image below 👇 #Python #JavaScript #WebDevelopment #BackendDevelopment #SoftwareEngineering #Programming #Developers #TechCommunity #LearningInPublic #SoftwareDevelopment #CleanCode 

I’ve been exploring Python for the past few days. Since I already work with JavaScript, one question kept bothering me: Why does Python always require a virtual environment, while Node.js doesn’t? After digging deeper, here’s what I understood: In Python, we use virtual environments to isolate dependencies. Each project gets its own set of libraries, which avoids version conflicts across projects. Without this, managing packages globally would quickly become messy. In contrast, Node.js uses a different approach. It installs dependencies locally inside the project (node_modules). It also allows nested dependencies, meaning different packages can depend on different versions of the same library. This flexibility comes with a trade-off: → Large node_modules folders → Duplicate packages → The infamous “node_modules hell” So the difference is not that Node.js doesn’t solve the problem — it just solves it in a different way than Python. Key takeaway: Both ecosystems handle dependency management differently: Python → isolation via virtual environments Node.js → local + nested dependency system Understanding these differences helps you make better decisions when switching between ecosystems. If you’re a developer who likes going deeper into concepts, this is worth exploring. #Python #JavaScript #WebDevelopment #Backend #LearningInPublic

JavaScript really said: “5” == 5 😭 Coming from Python… this feels illegal In Python → strict comparison In JavaScript → “yeah sure, why not” Same symbol. Completely different behavior. Learning a new language really humbles you. “This is why people say: always use === in JavaScript.” Anyone else got confused by this? #javascript #python #webdevelopment #programming #codinglife #developerjourney #learninpublic

5 mistakes killing your React, .NET & Python code — and how to fix them 👇 Most devs learn these the hard way. I made this so you don't have to. Swipe through for tips on: → React re-renders that tank your app's performance → EF Core N+1 queries you probably have in production right now → Writing Python that actually looks like Python → The frontend-backend contract nobody talks about → How I use AI tools to ship faster in 2026 Save this post. You'll want to come back to it. If this was useful, follow me for more full-stack tips every week. What's your biggest dev tip? Drop it in the comments 👇 #ReactJS #DotNet #CSharp #Python #FullStackDevelopment #WebDevelopment #SoftwareEngineering #Programming #TechTips #AITools #CursorAI #DeveloperLife #CodeQuality #BackendDevelopment #FrontendDevelopment

🐍 Python Developer Nuggets — Day 17 Retries in APIs Why do APIs fail even when everything looks correct? Because failures happen… and your system doesn’t retry smartly. The problem: Request fails once and stops User sees an error Even though it might have worked on retry The solution: Retry the request Add delay between retries Limit number of retries request = call_api() # retried on failure What changes: First attempt → may fail Retry → succeeds Better user experience Fewer visible failures Don’t retry everything Retry only when: Retry when: Network issues Timeout Temporary failures Don’t retry when: Wrong input Validation errors Golden rule: Retry only when failure is temporary Retry turns small failures into success #Python #Django #BackendEngineering #SystemDesign #CleanCode #Performance #DeveloperTips

Python or JavaScript? My Unpopular Opinion 🚀 Most people say start with Python. But after learning both, I think JavaScript is actually the better choice for beginners. Here’s why: Visual Results: You can see your code come to life in the browser instantly. That "clear vision" is a huge motivator. Smoother Workflow: While Python is often called "English-like," I find JavaScript’s syntax feels much smoother for building. It’s easy on the eyes and just makes more sense to the senses as you code. One Language, Total Control: With JS, you can handle both the Frontend and the Backend. It’s the ultimate Swiss Army knife. Python is powerful, but if you want to see what you’re building from day one, go with JavaScript. What was your first programming language? Let’s settle this in the comments! 👇 #Javascript #Python #WebDevelopment #Programming #CodingJourney #ComputerScience #TechCommunity #LearningToCode

🐍📈 Flask by Example — You're going to start building a Flask app that calculates word-frequency pairs based on the text from a given URL. This is a full-stack tutorial covering a number of web development techniques #python #learnpython

While digging deeper into environment setup, I noticed an interesting difference between Python and Node.js: Python installs packages globally by default. Unless you create a virtual environment, all dependencies go into a shared global space. Node.js installs packages locally by default. Every project gets its own node_modules directory. At first, this made me think: → Python focuses more on isolation and optimization → Node.js doesn’t care as much But that’s not completely true. Both ecosystems solve the same problem — dependency management — but in different ways: Python → requires you to explicitly create isolation (virtual environments) Node.js → gives you isolation by default (per-project dependencies) Trade-offs: Python → cleaner environments, but extra setup Node.js → easier start, but larger project size and duplication Key insight: It’s not about which is better — it’s about understanding the design decisions behind each ecosystem. This kind of detail matters when you switch between stacks or design scalable systems. #Python #Nodejs #Backend #SoftwareEngineering #LearningInPublic

Navigating the world of package managers? Discover how `pnpm` and `uv` stack up in this comprehensive comparison! From installation to package management, learn which tool can enhance your development workflow across Node.js and Python. Dive in now! #DevOps #Programming #Tooling https://lnkd.in/gp4MS7-u

I made another Python package! It simplifies bKash integration in Python. On top of that, it supports async, so integrating it with web frameworks like FastAPI is gonna be smooooooth. I went through the bKash API docs so you don’t have to, and trust me when I say this, it wasn’t a pleasant experience. The official documentation is full of discrepancies, and some parts haven’t been updated in a long time. I had to do a fair amount of guessing and dig through other people’s TypeScript implementations to figure things out. Overall, the docs might look slick, but under the hood, it’s a real mess. You’ll find detailed usage examples and documentation on my GitHub.