Did you know you can submit build and test results to CDash even if you’re not using CMake to build your software? Using a simple Python example (py_square.py), this workflow demonstrates how to: 🧪 Define tests with CTest without compiling a project. 🐍 Integrate frameworks like PyTest. 📊 Submit results directly to a CDash dashboard. ⚙️ Automate with CTest drivers and scripts. This approach shows how CTest and CDash can be applied beyond traditional CMake projects, making it easier to track test results, integrate existing frameworks, and gain insight into project health without requiring a full build system. 📖 Read the full walkthrough here: https://ow.ly/ZaO550X4up9 #CDash #CTest #PythonTesting #SoftwareTesting

Automation Milestone Achieved! 🚀 I just spent some focused time solidifying one of the most critical concepts in Python: Control Flow with loops. Nothing beats the feeling of seeing a script execute exactly as planned! Today's win was understanding the true power of for loops and the range() function. This foundation is essential for processing any sequence of data, from cleaning large datasets to iterating over a list of products. Key concepts I unlocked today: Loop Control: Understanding how the break keyword stops a loop entirely (like hitting an emergency stop button), versus how the continue keyword cleanly skips only the current iteration (like skipping a single element). Sequence Manipulation: Using the reversed() function and the negative step function (-1) in range() to count backward. Real-World Application: Building a functional countdown timer using the import time module, demonstrating how to pause script execution for real-time applications. This project transformed theoretical knowledge into practical, visible output. It's the small steps that lead to big results! What was the last fundamental coding concept that "clicked" for you? Let me know! #Python #PythonDeveloper #CodingJourney #Automation #ControlFlow #LearningToCode

🚀 Day 4/100 — Cracked LeetCode 1611: Minimum One Bit Operations to Make Integers Zero 🔥 Today’s challenge was a deep dive into bit manipulation and recursion. LeetCode 1611 looked deceptively simple—but beneath the surface, it’s a clever twist on Gray code transformations. 🔍 Problem Summary Transform an integer n into 0 using two constrained bit-flipping operations. The trick? You can only flip the rightmost bit, or flip the i-th bit if the (i-1)th is 1 and all lower bits are 0. 🧠 Key Insight This problem maps beautifully to recursive Gray code logic. For any number n, we recursively reduce it by flipping the highest set bit and subtracting the operations needed for the remainder. 📈 What I Learned Bitwise recursion can be elegant and powerful. Understanding binary patterns unlocks optimization. Python’s bit_length() is a hidden gem for bit-level logic. 🔧 Next Steps I’ll be documenting more of these insights as part of my 100-day challenge. If you’re into algorithmic puzzles or want to collaborate on clean, modular solutions—let’s connect! #100DaysOfCode #LeetCode #Python #BitManipulation #GrayCode #CodingChallenge #TechJourney #ScarBuilds

🚀 Day 54 of #100DaysOfCode Solved LeetCode Problem 2011. Final Value of Variable After Performing Operations ✅ This problem tests simple yet essential programming logic — understanding how pre/post increment and decrement operations affect variable states. Given a list of operations like ["--X", "X++", "++X"], the goal is to compute the final value of X after applying all updates sequentially. 💡 Key Insight: Each operation (++X, X++) increases the value by 1, while (--X, X--) decreases it by 1. The implementation can be efficiently handled in O(n) time by iterating through the operations once. ⚙️ Result: Runtime: 0 ms ⚡ Beats 100% of Python submissions Memory Usage: 17.76 MB (Beats 60.70%) Another step forward in improving my algorithmic problem-solving and code optimization skills 💪 #LeetCode #Python #100DaysOfCode #CodingJourney #ProblemSolving #DailyPractice #TechLearning #MythylyCodes

🚀 Problem 4 — Goal-Based Agent (with real project) 💡 What you’ll show A simple Python agent that chooses actions from goals (not just reacting). A mini real-world project: “GitHub Issue Triage Agent” that aims to reduce backlog to zero by acting toward goals. 💻 Code:https://lnkd.in/gvH7pEt4

🔥 Day 24 String Patterns & Prefix Power 💪 Today’s DSA session was all about smart scanning and pattern precision decoding strings from both ends like a pro 🧠 🔹 LeetCode 1903 Largest Odd Number in a String We learned to scan from right to left to grab the largest possible odd substring mastering substring slicing and number logic in one go. A simple yet powerful trick in string + math hybrid problems ⚡ 🔹 LeetCode 14 Longest Common Prefix We revisited a classic finding the common thread across multiple strings! Perfect practice for pattern alignment and character-wise comparisons 🧩 💡 Strings may look simple but they hide some of the most elegant problem-solving patterns in all of coding. What’s your go-to trick when solving string questions slicing, pointers, or brute force? 👇 #Day24 #100DaysOfCode #LeetCode #StringProblems #CodingJourney #ProblemSolving #DSA #LearnToCode #TechCommunity #Python #Programming #CodingChallenge #DSA90WithSUUMIT #DSA90 #FullStack #Strings #DEV

How we as software engineers need to promote ourselves from writing syntax to actually spend time in the trenches like tests, dev tools, debugging, optimization, lighthouse, etc... LLM's still struggle to write human level unit tests, I have tried for both Python and JS and they can't even figure out proper mocking techniques yet. Before LLM's all we focused on was just syntax writing and used to ignore everything else as that itself used to take up most of the time. With LLM's, we have to focus more on software design and delivery and not just finding and memorizing syntax.

I’ve seen teams argue for hours about tabs vs spaces, but skip the basics that actually make code easier to read and maintain. Here’s what really moves the needle for Python projects: 1) Write code that explains itself. Clear names and small functions solve half the pain. 2) Treat PEP 8 as a baseline, not a religion. Consistency matters more than strictness. 3) Add type hints. They save time, catch silly mistakes, and make the code easier for teammates and tools to reason about. 4) Keep functions focused. If it’s hard to describe what it does in one line, it’s trying to do too much. 5) Handle errors thoughtfully. Catch what you expect and log what you need. 6) Document the “why,” not the obvious. 7) Clean imports, meaningful tests, and no random magic values sprinkled around. These simple habits make Python code kinder to whoever reads it next -including future you. #python #codingstandards #codequality #cleancode #bestpractices #programmingtips Follow Sneha Vijaykumar for more... 😊

Ever had a “perfect” Python function quietly break in production — and wondered why your tests didn’t catch it? I did. I thought my unit tests covered all cases until Hypothesis came along and threw hundreds of unexpected inputs at my code. Suddenly, edge cases I never imagined popped up, exposing bugs hidden deep inside. Hypothesis flips testing on its head: instead of writing examples, you describe the properties your code should always follow. Then it generates countless inputs, hunting for the exact one that makes your code fail — and it even shrinks that input so debugging feels less like detective work and more like solving a puzzle. From checking that encoding and decoding always round-trip correctly, to revealing bugs in cache eviction policies, or validating optimized functions against simple references — this tool makes your code bulletproof in ways traditional tests can’t. 🛠 Catch weird edge cases without brainstorming endless inputs ⚡ Test complex data models or stateful classes efficiently 🔎 Find the exact failing example to debug faster What if your next bug isn’t a mystery but a challenge waiting for Hypothesis to uncover? Ever let your tests surprise you? What hidden bugs has property-based testing caught for you? #Python #DataScience #SoftwareTesting #Hypothesis #CodingTips #QualityAssurance #DeveloperLife