Learn to Code with Hands-on Projects and Real-World Examples

Can you believe it has been 3+ years since this tweet? And it has aged like a fine wine. When we just started prompting, you still had to wire a bunch of code together using Python or JavaScript to get anything real done. Now? A lot of the agents I use are driven by basic Markdown: - agent instructions - memory - skills English didn’t replace programming languages. It became the interface for the underlying abstractions, which are still defined in code. Just like many other programming languages end up compiling to something lower level.

🧠 I built my own programming language — and here it is running on CLI. This is GreyMatter — a custom interpreted language I built from scratch using Python and SLY. What you're seeing in this terminal: → The GreyMatter interpreter starting up (v0.01) → A variable being assigned: a = 50 → An IF/ELSE conditional executing in real time → Output: a is even ✅ The entire interpreter was built by me — from the Lexer and Parser to the AST and Runtime Engine. Why did I build this? Because the best way to understand how Python, JavaScript, or any language works... is to build one yourself. Every keyword you type, every error you get, every output on your screen — there's an entire pipeline behind it. Building GreyMatter made me truly understand that pipeline. 🔗 GitHub: github.com/Abineshabee Drop a 🧠 in the comments if you'd like to see more about how it works! #Python #Programming #OpenSource #BuildInPublic #ComputerScience #InterpreterDesign #GreyMatter #StudentProject #Ben10

Opinion: People who deploy Python Apps really doesn't understand how invasive installing Python can be with all the venv bs you have to do

In 2026, programming languages are evolving rapidly! 🌐 From Python's versatility in data science to JavaScript's dominance in web development, each language has unique applications. What languages are you using, and how are they shaping your projects? Let's discuss! #ProgrammingTrends

Pseudocode: The Secret Weapon of Smart Developers Before writing code, smart developers write logic. That’s called pseudocode. It’s simple. No syntax. No errors. Just clear thinking. Instead of jumping into JavaScript or Python, write: → Step 1: Take input → Step 2: Validate data → Step 3: Process logic → Step 4: Return result When your logic is clear, coding becomes easy. Syntax is just translation. Strong developers don’t code first. They think first. #Programming #Developer #Coding #ProblemSolving #SoftwareDevelopment

🚀 Tech Brain Teaser – Can You Crack It? Three developers — Karan, Isha, and Vivek — are each working with a different programming language: Python, Java, and JavaScript 💻 But here’s the twist 👇 🔍 Clues: 1️⃣ Karan does NOT use Python 2️⃣ Isha does NOT use Java 3️⃣ Vivek uses neither Java nor JavaScript 🧠 Challenge: Match each developer with the correct language! Drop your answers below ⬇️ (No cheating… your logic skills are on the line) #TechPuzzle #BrainTeaser #CodingChallenge #DeveloperLife #LogicSkills #ThinkLikeAProgrammer

After years of reading and writing code, I find that the dumbest code is the best code. It doesn't matter if it's C#, C++, or Python. Make your code simple. Don't use complex abstractions or difficult syntactic sugar, and you'll have a codebase that anyone can jump into and quickly add features without introducing bugs (or bugs that are less likely to happen). This matters more than anything else.

🚀 Day 24 – Check if a List is Sorted (Python) 💻 Today’s task: Implement a function to check whether a list is sorted or not. 🔍 The goal is to verify if elements are in ascending (or descending) order. 📌 This exercise helped me understand: • List traversal 🔁 • Comparison logic ⚙️ • Writing clean and efficient functions ✨ ✨ A simple yet important problem for building strong programming fundamentals. 📈 Staying consistent and improving step by step. #Python #100DaysOfCode #CodingJourney #Programming #ProblemSolving #Developer #LearnToCode #Tech #PythonTips #DataStructures

🚀 Day 32 of My Python Full Stack Development Journey Today, I explored some powerful Object-Oriented Programming (OOP) concepts in Python that help build scalable and reusable applications. 🔹 Polymorphism – One interface, multiple behaviors. Same method/operator can work differently based on the object. 🔹 Method Overloading – Learned how Python handles overloading using default arguments and *args, since direct overloading is not supported. 🔹 Method Overriding – Child classes can redefine parent class methods to provide their own implementation. 🔹 Operator Overloading – Customized operators like +, >, etc. for user-defined classes using special methods such as __add__() and __gt__(). 🔹 Data Abstraction – Hiding internal implementation details and exposing only essential functionalities using abstract classes (ABC). 💡 Key Takeaway: OOP concepts are not just theory—they are the foundation of writing clean, modular, and maintainable code in real-world projects. Every day of learning adds another layer of confidence. Consistency is the real game changer. Github Link : https://lnkd.in/grxhB38U #Day32 #Python #OOP #Polymorphism #Abstraction #CodingJourney #FullStackDevelopment #PythonProgramming #100DaysOfCode #SoftwareDevelopment Codegnan BhanuTeja Garikapati Saketh Kallepu

2 Useful python libraries you might need! 1. xlwings : turns your excel into executable app! use it as a function in python to do 1000s of calculations, like running design of experiments, optimizations etc. No more manual work. 2. Pyside: Turn you code into .exe and ship it as a GUI. I use it all the time to make applications.