How Python was invented by Guido van Rossum

What if problem solving could feel as simple as pressing a few keys... and watching Python do the thinking for you? That’s the exact feeling I had when I built my first simplified calculator program in Python. It wasn’t about creating something huge, it was about proving a point: That every big tech journey starts with small logic. Think about it: Every time you perform an addition, subtraction, multiplication, or division in code… You’re not just calculating numbers, you’re training your brain to think like a machine and reason like a human. That’s the beauty of coding. It turns everyday actions into automated logic, and curiosity into creation. In my upcoming video, I’ll walk you through how to build your own simple calculator, a project that teaches you how functions, inputs, and conditions work together to make your code think. It’s beginner-friendly, inspiring, and a perfect way to start your Python journey. Remember this: You don’t need to start big; you just need to start logical. One idea, one line, one project at a time. Watch the video attached to see how a few lines of Python can simplify your world. 👇 Tell me in the comments: If your calculator could talk, what would it say after solving your math? #PythonProgramming #LearnPython #CodingCommunity #Developers #ProgrammingLife #TechInnovation #Automation #ProblemSolving #CodeNewbie #PythonDeveloper #DigitalSkills #STEM #LinkedInLearning #TechGrowth #CodeYourWorld

Here is a clear and basic explanation you can use for a LinkedIn post: 💻 Exploring Python's Arithmetic Operators! Just finished running a simple Python script to demonstrate the core arithmetic operators. Understanding these fundamentals is key to any programming journey! The Script: It prompts the user to enter two numbers (stored as variables a and b). It then calculates and prints the result of several operations: Addition (a+b): $5 + 25 = 30$ Subtraction (a-b): $5 - 25 = -20$ Multiplication (a*b): $5 \times 25 = 125$ Division (a/b): $5 \div 25 = 0.2$ Floor Division (a//b): Returns the integer part of the quotient. $5 // 25 = 0$ Modulo (a\%b): Returns the remainder of the division. $5 \% 25 = 5$ Exponentiation (a**b): Raises the first number to the power of the second. $5^{25} \approx 2.98 \times 10^{17}$ This small exercise perfectly illustrates how Python handles basic mathematical computations. #Python #Programming #Coding #DataScience #SoftwareDevelopment #LearntoCode 10000 Coders

Curious about coding but not sure where to start? Our free Intro to Python course is built for beginners — whether you’re learning for fun, upskilling for work, or exploring a new career in tech. 🧠 6 self-paced modules 🎥 14 lessons + 6 hours of video 💻 50+ hands-on practice exercises If you’ve never written a line of code before, you’re in the right place. You’ll learn what programming is, why it matters, and how Python opens the door to endless possibilities — from data to AI to web apps. Start your free course today → https://hubs.li/Q03RBrv00 #LearnPython #IntroToCoding #PythonForBeginners #LearnToCode #CodingBasics #FreeCourse #OnlineLearning

✨ Day 16 – #100DaysLearningChallenge 🚀 Today was all about exploring the power of interoperability between Python and C — learning how to run Python code using C and execute commands seamlessly across both languages. ⚙️🐍💡 This deep dive helped me understand how Python can be embedded or extended with C to improve performance and enable low-level system interactions. 🔹 What I Learned Today: How to run Python scripts from C using the Python/C API (Python.h). Learned about the Py_Initialize(), PyRun_SimpleString(), and Py_Finalize() functions. Understood how C programs can execute Python commands directly. Explored how this integration is used in real-world applications for performance-critical tasks. 🔹 Key Takeaways: Python’s flexibility allows it to be combined with C for speed and control. Such integrations are common in machine learning frameworks, compilers, and backend systems. It’s a perfect example of how different languages can work together for efficiency. 🔹 Reflection: It was fascinating to see how Python and C can communicate so seamlessly — combining Python’s simplicity with C’s power opens up a world of possibilities. 🌍 This exploration gave me deeper insights into how interpreters and bindings work under the hood. 🔥 Day 16 complete — another step towards becoming a well-rounded developer with multi-language understanding! #100DaysLearningChallenge #Python #CLanguage #Integration #Programming #LearningEveryday #DeveloperJourney #BackendDevelopment

🚀 The Art of Raw Logic | Scribbled Logic Series — Vol. 1: Python Basics 🧠 My mind doesn’t code before it scribbles. Before automation begins, I build chaos — with arrows, notes, and half-baked loops. Every AI agent starts here — in the pages of raw logic that fight for structure before turning into code. This time, I gave that chaos a syntax — Python. From the simplicity of ➤ Data Types ➤ If-Else Decisions ➤ Data Structures (lists, tuples, sets, dictionaries) to shaping them into working logical systems — this notebook marks the start of my Scribbled Logic series. Learned & Guided by Prof indrani sen, this practical taught me that programming isn’t just about writing syntax — it’s about reasoning, structuring, and thinking like logic itself. 💻 Explore the notebook here: 🔗 https://lnkd.in/dJ9n9CK8 Because before my Models start reasoning, I do. And trust me — this is just the beginning. Many more to come! 🚀

🎥 Day 2 of Project 8 — Demo of the Quadratic & Linear Solver App As promised, here’s the live demo of my Quadratic & Linear Solver, built with Python and Streamlit! 🚀 This app provides a smart, interactive way to solve both quadratic and linear equations, showing each solution clearly as two-number pairs — whether real or complex. 🧮 Features in Action: ✅ Solves single and batch equations with ease ✅ Handles both linear and quadratic forms automatically ✅ Displays results neatly — even complex roots in separate lines ✅ Error-handling for invalid or zero inputs This project was developed as part of my SAIL Data Science Training at the SAIL Innovation Lab, under the #14ProjectChallenge. It demonstrates how mathematics and coding can beautifully merge to make problem-solving more intuitive and engaging. 💡 Tech Stack: Python | NumPy | Streamlit 📌 Note: All responses are generated strictly based on user input and dataset parameters. Accuracy depends on the values entered — just as it would in real-world data-driven systems. 🌍 Each day in this journey brings new lessons, and today’s experience reminds me that behind every algorithm lies a chance to make learning simpler for others. #DataScience #Python #Streamlit #Mathematics #Education #SAILInnovationLab #TechInAfrica #QuadraticEquations

Ever wondered why your Python code looks right but doesn’t “work” the way you expect? from my last post, i made a simple calculator program. But what if the result from our arithmetic operation requires being stored to be reused subsequently? Let’s talk about one of the most common confusions for beginners, the difference between return and print. At first glance, they look like twin. But trust me, they’re more like cousins who live in different cities. Here’s the difference 👇 🔹 print() Displays the result on your screen Great for showing outputs while testing or debugging But once it’s printed and it’s gone, you can’t reuse that value 🔹 return Sends the result back to the program Allows you to reuse it, store it, or process it further It doesn’t display anything unless you tell it to Think of it this way: print() is like talking out loud, people can hear it, but it vanishes afterward. return is like sending a message, it can be read, stored, and acted upon later. When I finally understood this difference, my functions started making sense , and my code started thinking for itself. The real growth happens when you stop writing code just to see results… and start writing code that can use those results. 👇 Now it’s your turn: If you had to explain return vs print to a total beginner, what funny analogy would you use? Drop yours in the comments let’s make learning Python fun again! 💬🐍 #PythonProgramming #LearnPython #CodingCommunity #Developers #ProblemSolving #ProgrammingLife #PythonDeveloper #TechInnovation #CodeNewbie #Automation #LinkedInLearning #DigitalSkills #TechEducation #CodeYourWorld

🐍 Day 2 of learning Python… and I just caught is and == pretending to be the same! 😅 At first, I thought both do the same thing — check if two values are equal. But Python was like: “Hehe… not really 👀” Here’s what I discovered 👇 a = [1, 2, 3] b = [1, 2, 3] print(a == b)  # True ✅ (values are same) print(a is b)  # False ❌ (different memory locations) So basically: == 👉 checks value equality is 👉 checks object identity (same memory address) And just when I thought I understood it all… Python dropped this bomb 💣 x = 256 y = 256 print(x is y) # True 😲 x = 257 y = 257 print(x is y) # False 😅 Turns out, Python internally caches numbers from -5 to 256, so is works only within that range! Now I finally get it — is and == look similar… but they live in different realities! 😂 #Python #LearningInPublic #CodeNewbie #DeveloperHumor #100DaysOfCode #Programming