What is Programming? Learn Python with Keshav

You know what’s fascinating about coding? It’s not really about typing lines of code — it’s about teaching logic to creativity and turning ideas into something that actually works. Coding teaches you to think differently. It’s the art of breaking complex problems into small, clear steps — of translating human thought into a language a computer can understand. Every if, every else, every loop is a decision. Every error is feedback. And every program that finally runs feels like solving a puzzle you built from scratch. What I love most is how a few lines of code can create impact — from automating reports to predicting trends, or simply making everyday tasks smarter. For me, coding connects logic, data, and imagination — it’s where analytical thinking meets innovation. And that’s the beauty of it: learning to code isn’t just about computers; it’s about learning how to think. Here’s to writing, debugging, learning, and building — one function at a time. #Python #DataScience #Coding #Programming #LearningJourney #MScDataScience #NottinghamTrentUniversity #Analytics #WomenInTech #Innovation

𝐓𝐡𝐞 𝐌𝐨𝐦𝐞𝐧𝐭 𝐏𝐨𝐥𝐲𝐦𝐨𝐫𝐩𝐡𝐢𝐬𝐦 𝐅𝐢𝐧𝐚𝐥𝐥𝐲 𝐌𝐚𝐝𝐞 𝐒𝐞𝐧𝐬𝐞 𝐭𝐨 𝐌𝐞 When I started learning Object-Oriented Programming, one concept always felt out of reach 𝐏𝐨𝐥𝐲𝐦𝐨𝐫𝐩𝐡𝐢𝐬𝐦. Every time I came across it in a tutorial or a book, I’d think, “I’ll understand this later.” But later never came until I decided to sit down and really figure it out. As I broke it apart, I realised something simple yet powerful: Polymorphism just means the same function or operator can behave differently depending on the object using it. That line changed everything for me. To make it stick, I wrote a few small Python examples 𝐃𝐮𝐜𝐤 𝐓𝐲𝐩𝐢𝐧𝐠 class Bird: def fly(self): print("Bird is flying") class Airplane: def fly(self): print("Airplane is flying") for obj in [Bird(), Airplane()]: obj.fly() 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫 𝐎𝐯𝐞𝐫𝐥𝐨𝐚𝐝𝐢𝐧𝐠 class Point: def __init__(self, x, y): self.x, self.y = x, y def __add__(self, other): return Point(self.x + other.x, self.y + other.y) 𝐌𝐞𝐭𝐡𝐨𝐝 𝐎𝐯𝐞𝐫𝐫𝐢𝐝𝐢𝐧𝐠 class Animal: def sound(self): print("Some sound") class Dog(Animal): def sound(self): print("Bark") When I saw the results on screen, it clicked. Polymorphism wasn’t about memorising syntax it was about adaptability. That small realisation shifted how I approach learning. Now, instead of trying to rush through concepts, I focus on truly understanding one at a time. And that’s what learning smarter really feels like. #LearningJourney #OOP #Python #Polymorphism #Developers #Coding #SoftwareEngineering #GrowthMindset #CodeLearning

Programming isn’t just for developers. It’s for problem-solvers. In our upcoming post, we explore the mindset behind programming: 🧠 Computational thinking 🔍 Pattern recognition 🛠 Step-by-step problem solving Whether you’re a student, entrepreneur, or educator, this post will help you think more clearly and build smarter. Read: https://lnkd.in/dP-bZiDU #ThinkLikeAProgrammer #SherasExplains #DigitalSkills #ComputationalThinking #TechEducation #SherasSeries

🚀 Build a new programming language in 3 months—with an #LLM The CURSED language by Gavin Huntley isn’t just a technical stunt. It’s a sign of a deep shift in what’s possible. https://lnkd.in/dwUD_xqx A few years ago, creating a new programming language took teams of experts, years of compilers, parsers, design docs, and formal proofs. Now? A single person + a large language model can prototype one in months. That’s not just speed. That’s leverage. It means that: • Creativity can scale faster than institutions. • Experimentation has become practical, not theoretical. • The bottleneck has moved from “Can I build this?” to “Should I build this?”

Programming has come an incredible way — from communicating with machines through zeros and ones to using languages that almost sound human. In the beginning, everything was slow and complex, written entirely by hand. Then came assemblers, which made the process a bit easier, and later high-level languages like C and Python made programming more natural and creative. With the rise of object-oriented programming, frameworks, and libraries, development became faster and smarter. Today, artificial intelligence takes it even further — helping us write, test, and improve code, turning programming into a true collaboration between humans and machines.

𝗧𝗵𝗲 𝗘𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝗡𝗮𝘁𝘂𝗿𝗲 𝗼𝗳 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 The most exciting thing about technology isn’t how fast it moves — it’s how much we keep learning. Every new programming language starts as a solution to an old limitation.  • Python made code more human-readable.  • Go simplified concurrency.  • Rust redefined safety and performance.  • And now, languages like Mojo and Zig are pushing boundaries even further. What doesn’t change is why we code — to solve problems and make ideas real. 🚀 What language are you most excited about in the next few years?

The Importance of Programming in Today’s World In the digital era, programming is more than just writing code — it’s the foundation of innovation. From automating tasks to developing intelligent systems, programming empowers individuals and organizations to solve complex problems efficiently. Whether you’re building a startup, exploring AI, or improving business productivity, programming cultivates logical thinking, creativity, and continuous learning. Learning to code doesn’t just create software — it creates opportunities. 🌐💻 #Programming #Technology #Innovation #Coding #Developers #SoftwareEngineering #Python #Learning #TechCareers #FutureSkills

Vibe Coding Is Powerful — But Don’t Skip Learning the Basics Vibe coding lets anyone create apps by describing ideas in plain language and letting AI generate the code. Sounds amazing, right? But here’s the catch: If you don’t understand what’s happening under the hood, you risk: Security flaws that hackers can exploit 🔓 Apps that crash or perform poorly 🐢 Limited ability to customize or fix issues 🛠️ Intellectual property problems ⚖️ Overestimating your coding skills 💭 💡 Bottom Line: Use AI to prototype, but pair it with real programming knowledge. Understanding code keeps your apps secure, efficient, and future-proof. #VibeCoding #AI #AppDevelopment #Programming #LearnToCode #TechSkills #DigitalInnovation #StudentsInTech

Introducing CodeShikhi AI – a multi-AI coding tutor developed to explore faster programming learning techniques. What began as a simple Java-learning agent with Raduanul Haque Maruf has evolved to support over 13 programming languages. It leverages AI APIs such as Google Gemini 2.5 Flash, Groq, DeepSeek V3, OpenRouter (Llama 3.3), Cohere, and HuggingFace. This project is built entirely on free-tier APIs and is intended for experimentation rather than regular use. Key features include: - Fully locally hosted - Open source - Submitted as a Kaggle Capstone Project Explore the project on GitHub: https://lnkd.in/gXevRqSa Watch the demo here: https://lnkd.in/gSJJ9ksC #CodeShikhiAI #AI #Programming #LearnToCode #OpenSource #KaggleCapstone

Just shipped switch expressions and proper-ish closures in Betty I'm excited to share two major features I just added to my programming language: - Switch Expressions: You can now chain them with function calls, indexers, and more. - Closures: Functions now correctly capture their lexical environment. Inner functions can access outer variables even after the outer scope has exited. This replaces the previous half-baked closure implementation that would crash when inner functions referenced outer variables, as the scope would be destroyed before the function executed. My initial closure implementation only stored function ASTs without their surrounding scope, causing crashes when nested functions tried to access outer variables. The fix required rethinking how function values are represented at runtime. The current implementation eagerly captures all variables in scope rather than just those the function references. Admittedly, this is not the most memory efficient approach, but it works correctly. I might optimize it later just for the learning experience. Building a language from scratch continues to be one of the best learning experiences. Check out some chicanery that's now possible in Betty (see the image below). Note: These changes are currently live on the "develop" branch. If all goes smoothly, they'll be merged into "main" soon. https://lnkd.in/dfxeUfp4