Transforming Code with Strong Foundations

Day 17 — Inheritance and Advanced OOP: Reusing and Extending Logic Good developers don’t rewrite code. They extend it. Inheritance allows one class to reuse the properties and methods of another. This is how large systems stay organized and scalable. Today you learned: • What inheritance is and why it matters • How to create a child class from a parent class • How to override methods • Using super() to access parent behavior • The idea of code reusability and hierarchy This is where object-oriented programming becomes powerful. Inheritance is used in: • Framework architectures • Large backend systems • Game engines • Scalable enterprise applications When you understand inheritance, you start designing systems instead of just writing features. Mini Challenge: Create a base class called Person with a method introduce(). Create a child class Student that inherits from Person and adds a new method study(). Instantiate both and test their behavior. Share your code in the comments. I’m sharing Python fundamentals — one focused concept per day. Built to transition you from beginner to structured developer thinking. Next up: Final Day — Bringing Everything Together with a Practical Mini Project. Working with multiple classes and navigating hierarchies becomes much easier in PyCharm by JetBrains, especially with its structure view and refactoring tools. Follow for the full Python series. Like • Save • Share with someone learning Python seriously. #Python #LearnPython #PythonBeginners #OOP #Inheritance #Programming #CodingJourney #Developer #Tech #JetBrains #PyCharm

The 2025 Developer Language Adoption report is out and the numbers tell an interesting story. JavaScript still reigns at 66%, but here's what caught my eye: 🔹 Python (57.9%) is closing the gap on SQL (58.6%) — the AI/ML wave is real 🔹 TypeScript (43.6%) is now far ahead of Java (29.4%) — the type-safety shift is undeniable 🔹 Rust (14.8%) continues its climb — performance and safety are becoming non-negotiable 🔹 Bash/Shell at 48.7% — a reminder that DevOps skills are just as important as writing app code The real takeaway? The modern developer stack is getting broader, not narrower. Full-stack means something very different today than it did 5 years ago. What language on this list surprised you the most? #Developer #Programming #TechTrends #SoftwareEngineering #2025

I built Talk2Code — text your codebase from your phone via Telegram (~150 lines of Python, open source) It's super simple: I want to talk to my codebase. AI assistants are smarter than us, and coding assistants are the first layer of giving code a voice of its own. Now I have the first iteration (v0.1.0 so it's not even POLISHED) of that vision... in 19 minutes and ~150 lines of code. The premise is that I wanted a way to go out in the world and capture my thoughts with my coding assistant while sitting on a bench watching my kids at a playground... super specific, I know. But it works! It's not crazy, it's not a pipedream, it WORKS! It's my first attempt at open source, but I really hope it goes viral. It's the age of CREATION, and now you can capture your thoughts via your phone's voice-to-text feature and send it to your codebase via Telegram and a simple 'bridge daemon'. Run the shell script on your computer, connect it via a bot in Telegram, and get creating in less than 15 minutes! It's awesome! https://lnkd.in/em6MDxKa https://lnkd.in/ezzBb6Wc Reach out and help me build more cool stuff!

💻 3 mistakes I made while learning Full Stack Python Development (so you don’t have to) ❌ Trying to learn too many frameworks at once → Depth beats variety. ❌ Ignoring frontend fundamentals → Backend developers still need UI understanding. ❌ Building projects without real-world structure → File organization and clean architecture matter early. What actually helped me improve: ✔ Building complete projects (frontend + backend + database) ✔ Writing cleaner, readable code ✔ Understanding WHY things work, not just HOW Learning full stack is not about speed — it’s about consistency. If you’re learning right now, keep building. Progress compounds. What’s one mistake that taught you the most? 👇 #PythonDeveloper #FullStackJourney #CodingLife #DeveloperGrowth #WebDevelopment #ProgrammingTips

Tech & Programming Trends 2026 The world of software is evolving fast: • Python stays strong for AI & data science • Rust is gaining for systems & performance-critical apps • TypeScript dominates web development • AI-powered dev tools are becoming a standard, not optional Staying updated isn’t optional it’s how you stay relevant.

Ever stumbled upon code so "brilliant" it makes you question everything you thought you knew about programming? 🧐 This article on "Brillant Python Programmers" (yes, with an "a"!) gives us a chuckle and a cringe! It's a hilarious deep dive into the kind of code written by highly intelligent folks who, bless their hearts, maybe skipped a few software engineering classes. We're talking reinventing `pathlib` functions, opening and closing log files for *every single line*, and even a mysterious `time.sleep(0.1)` just chilling at the end of a function. Because who doesn't love a good random pause? 😂 The best part? Sandra, the brave soul trying to maintain it all, says "This is one of the better files in the project." My sympathies, Sandra! It reminds us that clear code isn't always good code, and sometimes the "brilliance" is in making bad practices look deceptively elegant. It's a fantastic (and funny) reminder of why embracing best practices, using standard libraries, and maybe, just maybe, not calling Python via a shell command are crucial for long-term project health. Even the smartest minds can benefit from a little code review and a good ol' `pathlib` tutorial! What's the most "brillant" piece of code you've ever encountered? Share your war stories below! 👇 #Python #CodeQuality #SoftwareEngineering #TechHumor #DeveloperLife #Refactoring #BestPractices #TechDebt Like, share, and follow for more insights into the wild world of code (and a good laugh)! Read more: https://lnkd.in/g7Eqp47G

The gap between an "average" Python developer and a "great" one often comes down to habits, not just IQ Writing code that works is easy. Writing code that is maintainable, efficient, and scalable is hard. I’ve reviewed countless pull requests, and the best developers consistently do things differently. They move beyond syntax and focus on craftsmanship. Based on the visual below, here is the framework for leveling up your Python game: 🐍 1. Stop Reinventing the Wheel: The Standard Library is gold. Master collections, itertools, and functools before writing your own complex logic. 📖 2. Readability is a Feature: Code is read 10x more than it’s written. Adhering to PEP 8 isn't pedantic; it's professional courtesy to your future self and your team. ✅ 3. "It Works on My Machine" is Not a Strategy: Great devs embrace testing early. pytest isn't an afterthought; it's a safety net. 🧠 4. Data Structure Intuition: Knowing exactly when to use a set versus a list versus a dictionary is crucial for performance. 🌐 5. Respect Dependency Isolation: Never pollute your global environment. Use venv or conda for every single project. No exceptions. 🤝 6. The Ecosystem Moves Fast: The best aren't just coding; they are learning, mentoring, and contributing back to the open-source community. 🤖 7. Automate the Boring Stuff: Don't argue about formatting in PRs. Let tooling like black, flake8, and CI/CD pipelines handle the repetitive tasks. Call to Action: Be honest—which of these 7 habits is the hardest for you to stick to consistently? Let me know in the comments! 👇 Hashtags: #Python #SoftwareEngineering #CleanCode #BestPractices #DeveloperLife #ProgrammingTips #CareerTwinAI

Does the programming language still matter in 2026? I’m used to introducing myself as a Python backend developer, with experience in TypeScript, Swift, and C — but does it really matter? If AI writes the syntax, what does it matter which language you know? 🤖 Well, I think it still does. It’s less important than before — but it still matters. True specialization is understanding the runtime, the ecosystem, and the philosophy behind the language. Take Python’s “exceptions everywhere” approach — even StopIteration — in contrast to Swift’s guard let. Python follows the idea of “ask for forgiveness, not permission.” You try something — and handle failure if it happens. Even iteration relies on exceptions under the hood. Swift pushes the opposite mindset. Be explicit. Unwrap safely. Acknowledge uncertainty upfront. This isn’t just syntax. It’s a different philosophy about safety, predictability, and how systems should fail. Look at it as if you have a team working under your control. Only now they’re not human — they’re agents. 🤖 You still need to manage them and know their tricks. Syntax is becoming automated. Judgment is not. 🚀

Day 68 — Python vs Ruby “Which One Is Better for Web Development?” 🐍 Python Easy syntax Strong frameworks: Django, Flask Great for scalable web apps Used in AI, ML + web Large community & support 💎 Ruby Clean & expressive syntax Popular framework: Ruby on Rails Fast development for startups Great for MVPs & small-to-mid projects Smaller community compared to Python ⭐ Quick Verdict Python → scalable, secure, modern apps + AI integrations Ruby → quick startup projects & prototypes Dono languages fast development deti hain, bas use-case alag hai. #Python #Ruby #PythonVsRuby #WebDevelopment #ProgrammingLanguages #TechLearning #DevelopersOfLinkedIn #CodingJourney #SoftwareDevelopment #BackendDevelopment #100DaysOfCode #DailyTechPost #KaifTechTalks