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Today’s Learning: Problem Solving with Python Today, I focused on strengthening my problem-solving skills using Python. Instead of just writing code, I concentrated on understanding the logic behind problems, breaking them into smaller steps, and implementing clean, efficient solutions. Key takeaways from today’s practice: Thinking logically before coding Using conditions and loops effectively Writing readable and structured Python programs Improving confidence in solving real-world problems I’ve uploaded today’s practice code to my GitHub repository for reference and consistency in learning GitHub Repo: https://lnkd.in/gCjDbXxd Consistent practice is helping me build a strong foundation in Python and move one step closer to becoming industry-ready #Python #ProblemSolving #PythonProgramming #LearningEveryDay #CodingJourney #Consistency #CareerGrowth #Upskilling #TechSkills #SoftwareDevelopment #GitHubPortfolio #LogicalThinking

Today’s learning was focused on Exception Handling in Python, a critical concept for writing robust and production-ready code. I explored how Python handles runtime errors using: try and except blocks to catch and manage exceptions Handling specific exceptions for better error control Using else and finally to manage execution flow cleanly Understanding how exception handling improves program stability and user experience Practicing exception handling made it clear how important defensive programming is, especially when building real-world applications where unexpected inputs and failures are common. I’ve pushed my practice code to GitHub here: https://lnkd.in/gCs8-mG8 Consistently learning and applying core Python concepts to strengthen my fundamentals and move closer to industry-ready development. #Python #ExceptionHandling #PythonProgramming #ErrorHandling #LearningByDoing #SoftwareDevelopment #ProgrammingFundamentals #CodingPractice #BackendDevelopment #DeveloperJourney #CareerGrowth #ContinuousLearning #GitHubProject #TechSkills

Today’s Learning: Nested Loops in Python Today, I focused on understanding and practicing nested loops in Python, which are essential when working with repetitive logic inside another loop. Key takeaways from today’s practice: How an inner loop executes fully for each iteration of the outer loop Using nested loops for pattern printing Improving logical thinking and flow control Understanding real-use cases like matrix operations and iterations Hands-on practice helped me clearly visualize how nested loops work step by step and how they are applied in problem-solving scenarios. 🔗 GitHub Repository (Day 13 – Nested Loops Practice): https://lnkd.in/gvjitfr8 Consistent practice is helping me strengthen my Python fundamentals and move closer to building more complex programs and projects. #Python #NestedLoops #PythonLearning #Consistency #DailyLearning #CodingJourney #SoftwareDevelopment #CareerGrowth #GitHub #LearningByDoing

Today’s Learning: Exploring List Operations and Functions in Python Today I deepened my understanding of Python’s list operations and built-in functions. Lists are a fundamental data structure in Python, and mastering how to manipulate them effectively is key to writing clean and efficient code. What I covered: Adding, removing, and updating elements Iterating through lists Using list methods like .append(), .insert(), .pop(), and .remove() Applying functions such as len(), sorted(), and list comprehensions to transform data Creating and using custom functions to modularize logic These concepts help improve both readability and performance in real-world Python projects. If you’d like to see the code I worked on today, feel free to check out the repository: https://lnkd.in/g3jwFZWM Always eager to learn more and connect with others on their coding journey! #Python #Coding #LearnToCode #SoftwareDevelopment

Today’s learning was focused on Object-Oriented Programming in Python, diving deeper into Inheritance and its practical applications. Topics covered: Concept of Inheritance in Python Types of Inheritance: Single Inheritance Multiple Inheritance Multilevel Inheritance Hierarchical Inheritance Hybrid Inheritance Use of the super() keyword to access parent class methods and constructors How inheritance improves code reusability, scalability, and maintainability Hands-on practice helped me understand how child classes interact with parent classes and how super() simplifies method overriding. GitHub code reference: https://lnkd.in/gqqeGJM5 #Python #PythonProgramming #ObjectOrientedProgramming #OOP #Inheritance #SuperKeyword #LearningByDoing #CodingJourney #SoftwareDevelopment #ProgrammingPractice #ContinuousLearning #CareerGrowth #Upskilling #TechSkills #DeveloperJourney

Today’s learning was focused on Object-Oriented Programming (OOP) in Python, which plays a crucial role in writing structured, reusable, and scalable code. Topics covered today: Class – Blueprint for creating objects Object – Instance of a class Attributes – Data members that store object state Methods – Functions that define object behavior Understanding these core OOP concepts helps in building real-world applications with better code organization and maintainability. I also practiced these concepts with hands-on examples. GitHub repository for reference: https://lnkd.in/gdsjHxVw #Python #PythonProgramming #ObjectOrientedProgramming #OOP #ClassesAndObjects #Attributes #Methods #LearningPython #PythonDeveloper #CodingJourney #SoftwareDevelopment #ProgrammingFundamentals #CareerGrowth #Upskilling #TechLearning

🚀 Learning from My Playwright + Pytest Journey Sharing a screenshot of a clean, passing test run — but getting here involved solving a common issue many face when building automation frameworks. Earlier, while developing my Page Object Model, I hit import errors even though Pytest was discovering the tests. The root cause? Test discovery ≠ Python import resolution Pytest finds tests using testpaths, but Python resolves imports using sys.path, and Pytest doesn’t automatically add the project root to PYTHONPATH. How I fixed it: • Added __init__.py in ui_tests/ and ui_tests/pages/ to mark them as packages • Added pythonpath = . in pytest.ini ✅ Result: imports worked, tests passed (as shown), and the POM structure became stable. Takeaway: Test discovery doesn’t guarantee import resolution — understanding this distinction early saves a lot of headaches. #Pytest #Playwright #Python #AutomationTesting #PageObjectModel #LearningJourney

🚀 My Python Playground is back, and it’s better than ever! 🐍 They say you can’t keep a good project down. After a short hiatus (and a little "adventure" migrating the backend after Shuttle.dev shut down), I’ve spent the last few days working with AI to self-host the infrastructure. The AsyncMove Python Playground is officially live with a working URL shortener! 🛠️✨ If you need a fast, browser-based Playground to test ideas, teach, or share code, this is built for you. Here’s what’s under the hood: ⚡ Ruff Linting: Lightning-fast linting to catch bugs instantly. 🧪 Pytest Support: Built-in testing to ensure your logic is bulletproof. 📦 Package Management: Install and import Python packages on the fly. 🔗 Short URLs: Share your entire workspace with one clean, portable link. 💅 Auto-Formatting: Keep your code PEP 8 compliant with a single click. 📖 README.md: Annotate your snippets with full Markdown support. 💯 Type hints and Autocomplete: Hover over your codes to see the docstrings. It feels great to have this back in the wild. I’d love for you to give it a spin and share a snippet! Link in the Comments section. #Python #BuildInPublic #OpenSource #Coding #PythonProgramming #WebDev #SoftwareEngineering

Ever stumbled upon code so "brilliant" it makes you question everything you thought you knew about programming? 🧐 This article on "Brillant Python Programmers" (yes, with an "a"!) gives us a chuckle and a cringe! It's a hilarious deep dive into the kind of code written by highly intelligent folks who, bless their hearts, maybe skipped a few software engineering classes. We're talking reinventing `pathlib` functions, opening and closing log files for *every single line*, and even a mysterious `time.sleep(0.1)` just chilling at the end of a function. Because who doesn't love a good random pause? 😂 The best part? Sandra, the brave soul trying to maintain it all, says "This is one of the better files in the project." My sympathies, Sandra! It reminds us that clear code isn't always good code, and sometimes the "brilliance" is in making bad practices look deceptively elegant. It's a fantastic (and funny) reminder of why embracing best practices, using standard libraries, and maybe, just maybe, not calling Python via a shell command are crucial for long-term project health. Even the smartest minds can benefit from a little code review and a good ol' `pathlib` tutorial! What's the most "brillant" piece of code you've ever encountered? Share your war stories below! 👇 #Python #CodeQuality #SoftwareEngineering #TechHumor #DeveloperLife #Refactoring #BestPractices #TechDebt Like, share, and follow for more insights into the wild world of code (and a good laugh)! Read more: https://lnkd.in/g7Eqp47G

🎁 I’ve put together a clean, beginner-friendly Docker Images & Containers Cheat Sheet + Guide — and I’m sharing it! This covers everything I wish I had when I started: ✅ Dockerfile essentials ✅ Building, tagging & optimizing images ✅ Running & managing containers ✅ Using volumes, logs, exec, and sharing code ✅ Full Django workflow example ✅ CMD vs ENTRYPOINT demystified Whether you're new to containers or brushing up, this guide is designed to be clear, practical, and production-relevant. 🐳 🧠Want the cheat sheet? I’m happy to share — and I’ll be posting more tech tips like this, so feel free to follow along! #Docker #Containers #DevOps #Python #Django #LearningInPublic #SoftwareEngineering #CheatSheet