Secure Dev Secrets with .env Files

Debugging like a boss, but still lost in the stack trace! 😅 When your first authentication system actually works 😄🐍 Just built a User Login Form in Python—and yes, it let me in on the first try. What’s happening here: Usernames normalized with .lower() (because users will always type Alex, not alex) Multiple login options (username, email, or phone 📱) Conditional logic doing its honest work Hard-coded credentials… because this is learning mode, not production 😅 Is it enterprise-grade security? ❌ No. Is it a solid step toward understanding control flow, validation, and user input? ✅ Absolutely. Every developer has written this version before moving on to hashing, databases, and real auth systems. Progress > perfection. On to the next refactor 🚀 #Python #PythonProgramming #CodingJourney #LearningToCode #SoftwareDeveloper #DeveloperLife #ProgrammingHumor #TechHumor #CodeNewbie #ComputerScience #BackendDevelopment #LogicBuilding #ProblemSolving #CodingSkills #100DaysOfCode #DevCommunity #TechCareers #CodeLife #ProgrammingLife #PythonDeveloper

Today’s focus was a LeetCode Easy problem that tests real logical discipline, not tricks. 🔹 LeetCode #9 – Palindrome Number At first glance, this looks trivial. It isn’t. The task is simple: Check whether a number reads the same forward and backward. What actually matters while solving it: Negative numbers must be rejected immediately The original value must be preserved before mutation Digits must be extracted and rebuilt correctly Loop termination has to be precise The approach I used: Reverse the number digit by digit using modulo and integer division Compare the reversed value with the original number The logic is straightforward, but any missed condition silently breaks the solution. Key takeaway: Easy problems don’t fail because of complexity. They fail because of careless edge-case handling. Alongside this, I’m also solving smaller logic-building problems focused on: Conditional branching Boundary validation Correct ordering of conditions These reinforce the same thinking from a different angle. 🔗 GitHub Repository (all solutions): 👉https://lnkd.in/d5J4MA8q #LeetCode #Python #ProblemSolving #LogicBuilding #BackendDevelopment #LearningInPublic

**Update:** Tackled a tricky performance issue on the client's inventory management app today. Users reported slow loading times with large datasets. Root cause: N+1 query problem in the backend API. Fixed it by implementing eager loading of related data with SQLAlchemy. Frontend also saw a boost by switching from naive rendering to virtualized lists. Result: Load times reduced by ~60%! Client thrilled. #fullstack #python #react #performance

🚀 Day 11/100: From Logic Puzzles to Network Sockets Today’s Focus: LeetCode 125 (Valid Palindrome): I revisited string manipulation. Instead of clunky loops, I used a Pythonic generator expression: "".join(c.lower() for c in s if c.isalnum()). It’s efficient, readable, and handles "dirty data" exactly like a data processing script should. The "Why" of Networking: I’m officially starting to bridge the gap between Python and DevOps. I wrote a small script using the socket library to check if specific ports are open. The Big Realization: Understanding if a port is "listening" or if a DNS is resolving is just as important as writing an O(n) algorithm. Lesson of the day: When you're too tired to solve a "Hard" problem, solve an "Easy" one. Just don't stop moving. #LeetCode #Python #DevOps #Networking #MCA #ContinuousLearning #100DaysOfCode #CareerTransition

For those who don't know Mustel... Python environment management, simplified. 🦦 We just released Mustel v0.1.3, making it easier than ever to inspect and maintain your Python workflows. If you've ever struggled with "ModuleNotFoundError" when you know the package is installed, Mustel is for you. It gives you immediate visibility into your active environment and system installation. New in v0.1.3: 🛠 Virtual Environment Manager: Create and list venvs easily. 🩺 Maintenance Tools: Specific commands like mustel doctor and mustel clean to keep your setup healthy. ⚡ Broken Venv Detection: Automatically finds and helps fix broken environments (including OneDrive sync issues). Install now: pip install mustel Learn more: 📜 Docs: https://lnkd.in/dyrxjVEi 📦 PyPI: https://lnkd.in/dn2MFe-G We still are under heavy development! #Python #SoftwareEngineering #OpenSource #CLI #DeveloperTool

Here’s a demo of my Python command engine in action!🔥🔥🔥 This project is designed to bridge the gap between technical commands and everyday language. Whether it’s scanning your PC, opening apps, checking you IP address or viewing reports, you can simply say it in plain English and the engine executes it for you. The voice recognition feature makes it even more intuitive, giving non‑IT users the power to manage tasks without needing to memorize commands. This is just the demo version — more features and less bugs on the way! #Automation #IT #TlotloMasisi

🐒 Monkey Patching — Powerful but Risky Monkey patching means changing or extending code at runtime without modifying its original source. Dynamic languages like Python allow this because classes and functions are mutable while the program is running. Example:- class Calculator: def add(self, a, b): return a + b Now we change its behaviour without touching the class: def new_add(self, a, b): return a + b + 10 Calculator.add = new_add calc = Calculator() print(calc.add(2, 3)) # 15 That’s monkey patching in action. ✅ Pros 1. Quickly fix or override behaviour in third-party libraries 2. Very useful for mocking dependencies during testing 3. No need to change or redeploy original source code 4. Helpful in legacy systems where changes are restricted ❌ Cons 1. Makes code harder to read and reason about 2. Behaviour changes are implicit and not obvious 3. Can break unexpectedly after library upgrades 4. Debugging becomes more complex Rule of thumb: Use monkey patching sparingly, document it clearly, and prefer cleaner patterns like dependency injection when possible. Have you ever used monkey patching in real projects? 👇 #Python #SoftwareEngineering #ProgrammingConcepts #CleanCode #BackendDevelopment #Testing #PythonTips #DeveloperLife #CodeQuality #TechLearning

built a tui (terminal ui) in last two days, claude code wrote all python code and documentation: launch a list screen w 4 filters and search function, click to drill down to a detail screen with summary, status and a sublist modules, the sublist can click to open a full report detail screen, key and mouse based ui flow, with data coming from a middle tier cgi server which connects to backend spark sql tables. there are local cache to speedup, proxy authentication from ui host to middleware, 4 tables w joining to support the ui, finally everything wrapped in a docker container sandbox to download… claude code is addictive…i want to try opencode and the free llms, are they good?

We are committed to constant march forward! 🐜 🐜 🐜 Moorcheh v1.5.4 is live We’ve released v1.5.4, focused on async support, smarter batching, and significantly improved console memory management. What’s new Python SDK Async Python client (AsyncMoorchehClient) for FastAPI, aiohttp, and other async frameworks Automatic batching for document and vector uploads (100 items per batch) Direct file uploads via upload_file() Supported formats: PDF, DOCX, XLSX, JSON, TXT, CSV, Markdown (10MB max) Console & Playground updates Persistent memory per conversation Improved support for long-running conversations Increased maximum output tokens for more complete responses Namespace locking per chat to prevent context mixing Enhanced document summaries with full context awareness Why this matters You can now build faster async workflows, upload content more efficiently, and have long, natural conversations without losing context. Documentation: https://lnkd.in/gQVaSsdP