Python Calculator with Conditional Logic and Operators

✅ 2. Student Grade Calculator (if–elif–else) Created a grading system that assigns grades based on marks obtained. Key Features: Implemented if–elif–else ladder for multiple conditions Automated grade classification (A, B, C, D, Fail) Used range checking and logical operators Eliminates manual grading errors Skills: Conditional Branching, Logical Operators, Problem Solving 🚀 Overall Learning Outcomes Through these projects, I strengthened: ✔ Problem-solving skills ✔ Logical thinking ✔ Python fundamentals ✔ Real-world decision automation Tech Stack: Python | Conditional Statements | Operators | Control Flow #Python #Programming #MiniProject #ProblemSolving #CodingPractice #SoftwareDevelopment #LearningJourney #DataScience #100DaysOfCode

🔢 Today I Learned: Number Programs Using While Loop in Python Today I explored how to use the while loop in Python to solve logical number-based problems such as Neon numbers, Spy numbers, and other digit-based programs. The while loop is very powerful when working with numbers because it allows us to extract digits one by one and perform operations like sum, product, and validation. 📌 Key concepts I learned: • Using while loop to iterate through digits of a number • Logic to check Neon Number (sum of digits of square equals the number) • Logic to check Spy Number (sum of digits equals product of digits) • Performing digit extraction using % and // operators • Building strong logical thinking and problem-solving skills 💡 Where it is used: Number validation systems, coding interviews, algorithm design, and logical problem solving. This helped me understand how loops work internally and how they can be used to solve real programming challenges efficiently. #Python #Programming #WhileLoop #Coding #ProblemSolving #PythonProgramming #LearningJourney #Developer #LogicBuilding

💡 Today I worked on a Python task 3 focused on sensor data analysis using different Data Structures and OOP concepts. In this project I practiced working with: ✅ List, Tuple, Dictionary, and Set ✅ Organizing sensor readings by sensor ID ✅ Identifying unique sensors and high stress values ✅ Calculating statistics such as max, min, and average temperature ✅ Sorting timestamps and extracting the most recent readings ➡️ I also implemented Object-Oriented Programming (OOP) by creating classes to structure the solution, and solved a system of linear equations using Python. 🎬 In this video I explain the idea behind the code and how each part works. A big thanks to Eng. Mostafa Emad and KAITECH Engineering & Technology for this amazing opportunity! #Python #Programming #DataStructures #OOP

Simulation Master Class Unlock the full power of Python—machine learning models, optimization solvers, and advanced libraries—directly inside your ExtendSim models. Join Mohan Divakaran, Simulation Technical Product Manager, ANDRITZ Inc. and Dave Krahl, QMT Group & Tetra Tech on March 11, 2026, for: Supercharge Your Simulations: Python-Powered Modeling with ExtendSim. Get an inside look at the new Python Bridge block coming in ExtendSim 2026 and see how it transforms the way you model, experiment, and build adaptive systems. What you’ll learn: How to turn your ExtendSim models into intelligent, adaptive decision engines by using the Python Bridge block as a gateway to Python’s ecosystem to: • Bring machine learning models into the loop for real time inference. • Integrate leading optimization and analytics libraries. • Execute Python scripts inside ExtendSim for closed loop experimentation and adaptive logic. • Build advanced logic with a robust scripting editor. • Access ExtendSim variables, data, and model logic directly from Python. Ready to build smarter simulations? Register today! Date: March 11, 2026 Time: 2pm EDT/8pm CET Register here: https://lnkd.in/deC6r7Aa

Simulation Master Class Unlock the full power of Python—machine learning models, optimization solvers, and advanced libraries—directly inside your ExtendSim models. Join Mohan Divakaran, Simulation Technical Product Manager, ANDRITZ Inc. and Dave Krahl, QMT Group & Tetra Tech on March 11, 2026, for: Supercharge Your Simulations: Python-Powered Modeling with ExtendSim. Get an inside look at the new Python Bridge block coming in ExtendSim 2026 and see how it transforms the way you model, experiment, and build adaptive systems. What you’ll learn: How to turn your ExtendSim models into intelligent, adaptive decision engines by using the Python Bridge block as a gateway to Python’s ecosystem to: • Bring machine learning models into the loop for real time inference. • Integrate leading optimization and analytics libraries. • Execute Python scripts inside ExtendSim for closed loop experimentation and adaptive logic. • Build advanced logic with a robust scripting editor. • Access ExtendSim variables, data, and model logic directly from Python. Ready to build smarter simulations? Register today! Date: March 11, 2026 Time: 2pm EDT/8pm CET Register here: https://lnkd.in/dk6QyrpT

🚀 𝐃𝐚𝐲 8/60 – 60-𝐃𝐚𝐲 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 Today's topic is "𝐁𝐨𝐨𝐥𝐞𝐚𝐧 𝐯𝐚𝐥𝐮𝐞𝐬" Boolean values represent the two fundamental truth constants in logic: 𝒕𝒓𝒖𝒆 and 𝒇𝒂𝒍𝒔𝒆. In programming and digital systems, they drive decision-making, control flow, and conditional evaluation by resolving expressions to either 𝐓 or 𝐅. Proper use of booleans enhances readability, enables efficient branching, and underpins logical operators such as AND, OR, and NOT. When modeling real-world problems, clear boolean expressions help ensure correct outcomes and easier maintenance 𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝘷𝘢𝘳 = 0 # 𝘈𝘴𝘴𝘪𝘨𝘯𝘪𝘯𝘨 0 𝘵𝘰 𝘷𝘢𝘳 𝘱𝘳𝘪𝘯𝘵(𝘷𝘢𝘳 == 0) 𝘷𝘢𝘳 = 1 # 𝘈𝘴𝘴𝘪𝘨𝘯𝘪𝘯𝘨 1 𝘵𝘰 𝘷𝘢𝘳 𝘱𝘳𝘪𝘯𝘵(𝘷𝘢𝘳 == 0) Understanding these operators made me realize how programs make decisions and perform actions based on logic. They may look like simple symbols, but they are essential for writing meaningful code. Step by step, building stronger logic. #learning #python #consistency #challenge #60days #coding #programming

[Hardware Engineer tries #VibeCoding to learn Python - Part 2.5] I’ve put together this deck to summarize the "first mile" of my Python journey. It covers the paradigm shift from C/Verilog logic to high-level software automation. As I’ve shared before, AI isn't here to replace engineers—it's a powerful amplifier. By adopting an "Intent-Driven" mindset, we can focus on being the System Architect while AI handles the syntax boilerplate. Check out the slides below for a look at my modern dev setup (WSL + Windsurf) and my first automation project, sys_monitor.py. My goal is to bridge the gap between hardware intuition and software logic to build more resilient systems. #HardwareEngineering #Python #VibeCoding #Automation #WSL #ContinuousLearning #SystemArchitect

𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝘆𝗼𝘂𝗿 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗰𝗵𝗲𝗺𝗶𝗰𝗮𝗹 𝗡𝗼𝗶𝘀𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 — 𝗮𝗻𝗱 𝗴𝗼 𝗯𝗲𝘆𝗼𝗻𝗱 𝗼𝘂𝗿 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 We recently introduced 𝗣𝘆𝗣𝗮𝗹𝗺𝗦𝗲𝗻𝘀, 𝗼𝘂𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗗𝗞 designed to give you full control over PalmSens instruments using a clean and pythonic workflow. To show how easily you can integrate electrochemical measurements into your own scripts, or applications, we have published a new application note demonstrating how to perform and analyse 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗰𝗵𝗲𝗺𝗶𝗰𝗮𝗹 𝗡𝗼𝗶𝘀𝗲 (𝗘𝗡) using familiar Python libraries. Compute 𝗽𝗼𝘄𝗲𝗿 𝘀𝗽𝗲𝗰𝘁𝗿𝗮𝗹 𝗱𝗲𝗻𝘀𝗶𝘁𝗶𝗲𝘀, 𝗻𝗼𝗶𝘀𝗲 𝗿𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲, and more — all with just a few lines of code: https://lnkd.in/e7PXybmS Looking for other methods, examples, or functions? Explore our full Python documentation here: https://lnkd.in/eZgmmfaN If you’re interested in building your own automation, integrations, or custom software around PalmSens hardware, check out our dedicated SDKs page: https://lnkd.in/gzWUGAAD #electrochemistry #Python #ElectrochemicalNoise #Corrosion #PalmSens #coding #sdk #automation

🚀 Day-48 of #100DaysOfCode 🐍 Python Pattern Programming – Continuous Alphabet Triangle Today I implemented an Alphabet Triangle Pattern where characters print continuously using ASCII values. 🔹 Concepts Practiced: ✔ Nested loops ✔ ASCII value manipulation ✔ chr() function ✔ Sequential character logic ✔ Pattern visualization 🔹 Approach: Initialize ASCII value to 65 Convert ASCII to character using chr() Increment the value after each print Continue sequence across rows 🔹 Key Learning: This exercise improved my understanding of character encoding, loop control, and pattern logic building, which are important for strengthening programming fundamentals. #Python #PatternProgramming #AlphabetPattern #CorePython #100DaysOfCode #Day48 #LearnPython #CodingPractice #PythonDeveloper

✅ 3. Driving License Eligibility System (Nested if–else) Built a rule-based system to check if an applicant is eligible to drive based on multiple criteria such as age, documents, and medical fitness. Key Features: Applied nested if–else statements for multi-level checks Managed complex conditions using AND/OR operators Simulates real-world verification processes Improved understanding of structured logic flow Skills: Nested Conditions, Logical Operators 🚀 Overall Learning Outcomes Through these projects, I strengthened: ✔ Problem-solving skills ✔ Logical thinking ✔ Python fundamentals ✔ Real-world decision automation Tech Stack: Python | Conditional Statements | Operators | Control Flow #Python #Programming #MiniProject #ProblemSolving #CodingPractice #SoftwareDevelopment #LearningJourney #DataScience #100DaysOfCode