54/75 Today I spent some time learning about asynchronous programming in Python and honestly, it changed how I think about performance. Instead of waiting for one task to finish before starting another, async lets your code handle multiple things at once. It’s especially powerful for I/O-heavy tasks like API calls, database queries, or web scraping. What stood out to me: • Faster execution without adding more hardware • Cleaner handling of concurrent operations • The power of async and await when used correctly It’s one of those concepts that feels confusing at first, but once it clicks, you start seeing so many real-world use cases. Still experimenting with it but definitely a step forward in writing more efficient systems 🚀 #Python #AsyncProgramming #LearningInPublic #SoftwareDevelopment

Looking to automate your PSS®E workflows and build practical Python skills? Join us in Washington, DC for our 4-Day Hybrid Course: Automating PSS®E Using Python — designed for power system professionals who want to work smarter, faster, and more efficiently. In this course, participants will learn how to: Use Python to automate PSS®E Work with key PSS®E Python APIs Retrieve, modify, and process network data Improve study workflows for greater speed and consistency Whether you’re new to Python or looking to enhance your existing PSS®E processes, this course will give you the tools to make your work more powerful and efficient. Attend in person or online. https://lnkd.in/gVzMuNHj #PSSE #Python #Automation #PowerSystems #PowerEngineering #EngineeringTraining #ProfessionalDevelopment #WashingtonDC

I’ve published my first technical article: a walkthrough of the SOLID principles—with Python examples. It started as “I’ve heard these letters everywhere—what do they actually mean in code?” Turning that into something concrete helped me more than skimming another diagram. In the post I break things down into bite-sized pieces, including: • Single Responsibility: One job per module—easier to reason about and change. • Open/Closed: Extend behavior without rewriting existing code. • Liskov Substitution: Subtypes that don’t break expectations. • Interface Segregation: Small, focused contracts instead of fat interfaces. • Dependency Inversion: Depend on abstractions, not concrete details. Beyond the theory, each section includes short Python snippets so the ideas map to something you can run and tweak—not just memorize. The full post is here: https://lnkd.in/gFXSE4d9 #SoftwareEngineering #SOLID #Python #CleanCode #OOP #DesignPatterns

🐍 Python Mini Project Update – Improved Calculator As part of my Python practice, I enhanced my basic calculator program by adding better logic handling and improvements. Key updates in this version: • Used multiple input options (add, +, addition) for better flexibility • Implemented proper conditional checks using "in" operator • Added division by zero handling to avoid runtime errors • Improved overall code structure and readability This update helped me understand how small logical mistakes can affect program behavior and how to fix them effectively. Instead of just writing code, I’m focusing on improving, debugging, and making it more user-friendly step by step. Next goal: Adding loops and functions to make this a fully interactive calculator. Learning → Practicing → Improving 🚀 #Python #LearningJourney #MiniProject #CodingPractice #ProblemSolving #Consistency

Doqtor officially supports Python now. I've been expanding the ecosystem so you can keep your Python docs in sync with your code automatically. It detects changes in .py functions and classes and updates your READMEs or docs so they stay honest. I also just added a Drift Analytics Dashboard. You can see your documentation health at a glance by tracking PRs, how much drift was detected, and which files are the top offenders. Data driven documentation management makes a huge difference. Check it out on GitHub: https://lnkd.in/g7pzX6Aw #OpenSource #Python #TypeScript #BuildInPublic #Documentation

🚀 Learning Python the Practical Way: Understanding Virtual Environments Over the past few days, I started learning Python and decided to focus on building instead of just reading syntax. Today, I explored one of the most important concepts for any developer: Virtual Environments (venv) Here’s what I understood: 🔹 A virtual environment is an isolated Python setup for a specific project 🔹 It prevents version conflicts between different projects 🔹 Each project can have its own dependencies without affecting others 💡 Why it matters: While working on multiple projects, different versions of the same library can break things. Virtual environments solve this by keeping everything separate and controlled. 🛠️ What I practiced: Creating a virtual environment Activating and deactivating it Installing packages inside it Understanding how Python uses project-specific paths This concept is very similar to how we manage dependencies in Node.js projects, but implemented differently in Python. Next step: Building a simple backend server using FastAPI to apply this knowledge in real projects. #Python #BackendDevelopment #FastAPI #WebDevelopment #LearningInPublic

🧠 Python Concept: pass statement Do nothing… but intentionally 😎 ❌ Problem if True: # nothing here 👉 Error ❌ (Python expects something inside) ✅ Pythonic Way if True: pass 🧒 Simple Explanation Think of pass like a placeholder 🧩 ➡️ “I’ll add code later” ➡️ Keeps program running ➡️ Does nothing 💡 Why This Matters ✔ Avoid syntax errors ✔ Useful in empty blocks ✔ Helps in planning code ✔ Common in real projects ⚡ Bonus Examples 👉 In functions: def future_function(): pass 👉 In loops: for i in range(5): pass 🐍 Sometimes doing nothing is important 🐍 Write code step by step #Python #PythonTips #CleanCode #LearnPython #PassStatement #Programming #DeveloperLife #100DaysOfCode

Complete Python Testing Guide by Jan Giacomelli is out 🚀 Learn how to write better tests with your AI agents to deliver better software faster. Including agent files - CLAUDE .MD and .cursorrules https://lnkd.in/ecD3e9_8

Built a small Python script that auto-organizes files in a folder by type like images, videos, documents, code files and more. Nothing fancy, just a useful little tool I made for myself. Open-source if anyone wants it. GitHub: https://lnkd.in/gt8cEsYf #Python #Automation #OpenSource