Refining PyQt framework for modular UI creation and validation

Excited to share some progress on v5 of my PyQt framework! While v4 remains the main repo, v5 introduces a more robust verification system for UI elements: • Built an advanced logging utility that automatically tags logs with |FILE|CLASS|FUNCTION| for cleaner debugging. • Developed a cleaner utility to normalize inputs (strings, lists, tuples) with defaults and consistent formatting. • Created verifiers that transform cleaned user input into actual PyQt widget instances, ensuring correct types and attributes. • Streamlined the workflow: user input → cleaner → verifier → fully validated widget/layout. This is a huge step toward making UI building safer, more maintainable, and DRY. #Python #PyQt6 #SoftwareEngineering #CodeQuality #DRYCode #Logging #UIFramework #Recruitment #TechTalent #DeveloperTools

✨ New article in my LINQ series! Before building our own LINQ methods, we’re taking one smart step first: unit testing. In this post, I show how to use xUnit to test the behaviour of two essential LINQ methods: Where and Any. It’s a simple and powerful way to define how our methods should work before we write a single line of implementation code. ✅ Learn how to: - Set up xUnit in a .NET project - Write your first LINQ-style tests - Prepare for implementing MyWhere and MyAny Check it out here 👇 🔗 Read the full article here: https://lnkd.in/dRsvY4-k #dotnet #csharp #linq #programming #developers #testing

It started with a simple thought: “I’m way too lazy to keep hardcoding every widget and layout.” Every time I worked on a PyQt interface, I found myself writing the same setup logic over and over again — widgets, alignments, layouts, geometry, connections… all boilerplate. So instead of repeating the process, I decided to automate it. What began as a small time-saver turned into a full framework: a dynamic system that can build, verify, and assemble PyQt widgets on the fly. It handles alignment, geometry, and even logical bindings in a way that keeps the codebase clean and modular. Essentially, it transforms GUI creation from a tedious, manual task into a flexible, scalable architecture. This project reminded me that most innovation doesn’t start with big ideas — it starts with small frustrations. Sometimes “I’m too lazy for this” is really just the first step toward a more efficient solution. #Python #PyQt #Automation #SoftwareEngineering #CleanCode #Programming #FrameworkDesign #DeveloperTools #Productivity #Innovation

🚀 LeetCode POTD — 474. Ones and Zeroes 🎯 Difficulty: Medium | Topics: Dynamic Programming, 0/1 Knapsack 🔗 Solution Link: https://lnkd.in/gscqurzi Today’s #LeetCode Problem of the Day was a classic 0/1 Knapsack variation — and a great reminder of how dynamic programming helps balance multiple constraints efficiently. The task was to find the largest subset of binary strings that can be formed with at most m zeros and n ones. 🧠 My Approach: For each string, count the number of 0s and 1s. Use a 2D DP array (dp[m+1][n+1]), where dp[i][j] represents the maximum subset size possible using i zeros and j ones. Traverse in reverse (to avoid recomputation) and update using: dp[i][j] = max(dp[i][j], dp[i - zeros][j - ones] + 1); The final answer is dp[m][n]. 📈 Complexity: Time: O(len(strs) × m × n) Space: O(m × n) 💡 Takeaway: Dynamic Programming is all about breaking problems into smaller overlapping subproblems — once you see that, even “complex” constraints start falling into place logically. #LeetCode #ProblemOfTheDay #DynamicProgramming #Knapsack #DSA #CodingChallenge #ProblemSolving #C++ #SoftwareEngineering #CodingJourney #100DaysOfCode #LearningInPublic #TechCommunity

🚀LeetCode #5 – Longest Palindromic Substring (C++ Solution) Just solved LeetCode Problem #5 — one of those classic challenges that really tests your understanding of string manipulation and dynamic programming. This problem made me slow down and think carefully about how to expand around centers efficiently and optimize without brute force. It’s a great example of how small improvements in logic can drastically change performance. 🧠 Concept: Find the longest substring that reads the same forward and backward. Approach used: Expand Around Center — checking every possible center in O(n²) time but with constant space. 💻 Tech Stack: C++ ⚙️ Focus: Optimization, logic clarity, and clean code structure. Every problem like this strengthens how I think about data patterns — and that’s exactly the kind of mindset I bring into real game logic and system design. #LeetCode #Cplusplus #Coding #ProblemSolving #GameDev #Programming

Mastering loops is crucial for building a strong foundation in DSA. Today, I learned how to use loops pattern-wise, and here are the key techniques: Single Index: For simple iteration and element processing Adjacent Elements: For working with pairs (i, i+1) Triplets: For 3-element operations (i, i+1, i+2) Two Pointers: For optimized pair checks in sorted arrays Sliding Window: For dynamic subarray/substring problems Nested Loops: For full pairwise or brute-force comparisons Understanding these patterns helps you identify problem types faster and write cleaner, more efficient solutions. #code #tech #DSA #leetcode #javascript #programming #webdevelopment

Benefit from MTK's cross-language support for flexible development workflows. ✅ Use native C++ APIs for performance-critical tasks, or work with idiomatic C# and Python bindings. Control the web viewer via JavaScript.   • C++ API: core native interface for maximum performance and flexibility. • C# bindings: use MTK in .NET-based apps with idiomatic C# bindings. • Python bindings: ideal for scripting, prototyping and integrations. • JavaScript API (viewer only)  : use JS interface to control web viewer: load models, highlight, capture camera. 🔗 Learn more — link in bio. #cplusplus #csharp #python #digitalmanufacturing #cad

🚀 Day 81 of #100DaysOfCode Today I learned how to create object literals in JavaScript. An object literal lets you store related data as key-value pairs inside curly braces. For example: const car = { brand: "Toyota", year: 2020, color: "red" }; This way, you can easily organize, access, and update complex data as one unit. Object literals are foundational for structuring real-world information in your programs. #JavaScript #ObjectLiterals #Programming #100DaysOfCode

Day 26 of #100DaysOfCode 🚀 Today's problem was all about balance — literally. 🔹 LeetCode 1941 — Check if All Characters Have Equal Number of Occurrences The task: Verify whether every character in a string appears the same number of times. At first glance, it looks simple — but it's a great exercise in clean logic, frequency counting, and edge-case handling. 🧠 Approach (Java): Use an array of size 26 to store character frequencies. Track the first non-zero frequency. Compare all other non-zero counts with it. If any mismatch occurs → return false. Otherwise, the string is perfectly balanced. A small problem, but a powerful reminder that clarity > complexity. Efficient logic and readable code always scale better in the long run. 💡 Key Takeaway Mastering these bite-sized logic checks builds strong intuition for: ✔ string manipulation ✔ hashing concepts ✔ pattern consistency ✔ frequency-based problem solving These fundamentals become the building blocks for bigger DSA challenges. #100DaysOfCode #Day26 #LeetCode #DSA #JavaDeveloper #CodingJourney #ProblemSolving #Programming #Strings #Hashing #LearningEveryday #TechJourney