📘 Day 18 of my #90DaysPythonChallenge Focus: Python Foundations for Prompt Engineering Today, I worked on writing clean, modular Python code specifically for Prompt Engineering workflows. 🔹 Built reusable functions for prompt generation 🔹 Used *args and **kwargs for flexible inputs 🔹 Implemented basic decorators for logging and validation 🔹 Structured code into modules for scalability This practice helped me understand how real-world prompt pipelines are designed and maintained in production systems. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #PromptEngineering #LearningInPublic #CodingJourney

Leveling up my Python fundamentals 🚀 Today’s focus: Logic ✔ Membership ✔ Bitwise Operations ✔ Identity ✔ These small operators control big decisions inside a program. Master the basics. Avoid interview traps. Write smarter code. #PythonLearning #CodeLife #FutureDeveloper #TechGrowth #ProblemSolving

🐍📦 Python + GitHub Automation for Better Workflows Quarch Technology highlights how Python scripting and GitHub automation can streamline development and testing processes — helping teams save time, reduce errors, and improve collaboration across software projects. 🤝 Electro Systems Associates Pvt Ltd, bringing leading-edge engineering solutions to India, is pleased to highlight this valuable insight for teams driving automation and productivity. 👉 Check it out: https://lnkd.in/gRaQmq_T #ElectroSystemsAssociates #QuarchTechnology #Python #GitHub #Automation #DevTools #SoftwareEngineering #TestAutomation #ProductivityBoost

If you are using LAMMPS and want to switch to GROMACS, this small Python utility may be useful: https://lnkd.in/eM9R72pW Some features: Converts LAMMPS structures to .gro, itp and top format Supports advanced residue naming for cleaner topology handling Simple and lightweight workflow Feedback and contributions are welcome.

It's the start of a new Journey in my life, been a while since I started learning Python and here I am: 🚀 Built my first Python automation project! I recently created a Python File Organizer, a tool that automatically sorts files into folders such as Images, Documents, Videos, Audio, and Others. Key features: • Detects file types automatically • Creates folders if they don't exist • Moves files into the correct category • Generates a summary of the organized files This project helped me practice: - Python file handling - automation scripting - modular code structure Project code: https://lnkd.in/g7eacVEk Currently continuing my journey of learning Python by building practical tools. #python #automation #codingjourney #github #learning. Shankar Muralidharan

🧠 Procedural vs Object-Oriented Programming – The Real Difference Explained Simply Many beginners start with procedural programming… but modern software is built using OOPS concepts. This visual clearly shows the shift 👇 ⚙️ Procedural Approach • Focuses on functions & steps • Actions like withdraw(), deposit(), transfer() • Works well for small programs 🏗️ Object-Oriented Approach (OOPS) • Focuses on real-world objects • Customer, Account, Money as entities • Cleaner, reusable & scalable code 💡 Why OOPS matters in Python: It makes your applications easier to maintain and grow. 📌 Save this for revision 🔁 Repost to help beginners understand OOPS 💬 Comment OOPS for Day 2 of the series #Python #OOPS #ObjectOrientedProgramming #LearnPython #ProgrammingConcepts #CodingTips #SoftwareDeveloper #DeveloperJourney #ITStudents #TechSkills #PythonProgramming #CodingLife #ComputerScience

PYTHON AUTOMATION || File Organization Lately, I’ve been quite busy, so I decided to automate part of my workflow by using Python to organize my files. It’s been a simple but powerful way to stay productive even with a packed schedule. I’m sharing a short video showing how it works — feel free to try it yourself and run it from any location on your PC to automatically sort and organize your files. Hope you find it helpful!

Modern Python workflows are moving from pip + requirements.txt toward uv. But why? "It simplifies project setup and dependency management." No more manually activating virtual environments and no more txt based dependency management.

📘 Day 17 of my #90DaysPythonChallenge Topic: Lambda, Map, Filter & Reduce Today, I learned how to write cleaner and more efficient Python code using functional programming concepts. 🔹 Practiced lambda functions 🔹 Used map() for transforming data 🔹 Used filter() for selecting elements 🔹 Applied reduce() for aggregation These tools are very powerful for data processing and writing concise Python code. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #LearningInPublic #CodingJourney #