Entropy is the enemy of developer sanity. tng --audit enforces predictable structure instantly. Context-aware sorting: Intelligently groups framework, internal, and style imports. Frictionless enforcement: No manual reordering, just clean code. Make your codebase highly logical. 🖖 #TNG #ruby #python #devtools #cleanarchitecture #softwareengineering #developerproductivity
tng audit enforces predictable code structure
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By default, str.strip in #Python removes leading/trailing whitespace: s = ' a b c ' s.strip() # returns 'a b c' It takes an optional argument, naming leading/trailing characters to remove. Great for cleaning strings: s = '"Hello!"' s.strip(string.punctuation) # 'Hello'
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Built a quick tool to simplify text analysis! I got tired of switching between apps just to count words or check character formats, so I built a lightweight Text Analyzer to handle it all in one place. I kept the logic in Python and used Gradio for a clean, distraction-free UI. It’s simple, fast, and does exactly what it needs to do. Check it out here: https://lnkd.in/gD-sg6_c Any feedback on what feature I should add next? hashtag #Python #WordCounter
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The Async Performance Paradox ⚡ Performance tuning isn't always about writing 'faster' code; it's about picking the right concurrency model. 🏎️ In Python, switching from synchronous Gunicorn workers to an asynchronous ASGI setup like Uvicorn can drastically reduce latency for I/O-bound tasks. 📉 Understanding when to use asyncio vs. multi-threading is the key to scaling distributed systems without exploding your infrastructure costs. 💰🚀 #Python #BackendEngineering #PerformanceTuning #AsyncIO #SoftwareEngineering #Scalability #SystemDesign #CloudComputing
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I built an asynchronous RBV module downloader using Python + Playwright. It handles authenticated sessions, renders dynamic pages concurrently, and compiles everything into a clean PDF. What started as a repetitive manual workflow became an exploration of: • Async architecture • Session management • Concurrent rendering • Packaging (CLI + GUI) Small project, real-world friction. Open source: (https://lnkd.in/gHC-ZfPs) #python #automation #opensource #softwareengineering
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Day 54 of 365 Days of code 1) Capacity to Ship Packages Within D Days Approach: Binary search 1)set low = max(weights) 2) high= low*sum(weights) 3) perform the below steps until low<=high condition fails i) mid=low+(high-low)//2;res=0 ii) set w = mid and initialize day=1 iii) iterate through the loop and perform the stuff i put in screenshot (ahh life hurts :") ) iv) if the day <= days: set res=mid ; set high=mid-1 v) else low=mid+1 4) return res #365daysOfCode #NeetCode #leetcode #DSA #python #LeetCode #ProblemSolving #Algorithms #365dayschallenge
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😵 Thread-local storage works great... until you move to async. Then the weird stuff starts. Request IDs bleeding between coroutines. Background tasks sharing state. “Random” bugs that disappear under logging. Sound familiar? Async doesn’t care about threads. It cares about execution context. In my latest article I explain: 🔍 Why threading.local() fails under asyncio 🧠 How ContextVars isolate state per coroutine ⚙️ Real examples with async tasks and request-scoped data 👉 https://lnkd.in/d_aVTDtW #python #softwaredevelopment #backend #engineering #asyncio
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Today I learned about if conditions — how programs make decisions. Just like in real life, code also decides what to do based on situations. If condition = logic begins. Logic begins = backend starts making sense. Slowly understanding how real applications think behind the scenes. 💡 Learning. Improving. Building. 🚀 #Python #PythonDeveloper #FullStackDevelopment #BackendDevelopment #CodingJourney #LearningInPublic #DeveloperLife
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Using an Iterative Function System (IFS) with OpenGL in Python to draw the Barnsley Fern, a famous fractal shape. This is done using affine transformations according to the IFS code for the leaf: https://lnkd.in/dguTScee
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A tiny Python trick I learned while using Claude Code While building an app with Claude Code, I noticed it repeatedly using a neat Python pattern I had somehow missed for years. d = {'A': 1, 'B': 2} e = {**d, 'A': 2} print(e) # {'A': 2, 'B': 2} This looks trivial. But the idea behind it is powerful: start from a default dictionary and selectively override fields. It’s a small trick, but it creates a very clean pattern for: ✅ Generating test cases ✅ Configuration overrides ✅ Scenario simulation Sometimes the most useful ideas are not big algorithms. They are small patterns that quietly make code cleaner. #pythonic #claudecode #claude #software #pythontricks #python
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