Just shipped my first Python engineering workstation — PETROSIM V. It’s a real-time well logging visualization system built with PySide6 and PyQtGraph. Key features: • Depth-synchronized multi-track plotting • Log-scale resistivity analysis (0.2–2000 Ω·m) • Formation column modeling with stratigraphic labels • Auto-scrolling depth window with live “NOW” tracking • Session-based logging architecture This project marks my transition beyond frontend engineering into scientific visualization and applied computational systems. Tech stack: Python · PySide6 (Qt) · PyQtGraph · Real-time data buffering · Desktop application architecture It’s now live on GitHub. #Python #ScientificComputing #DataVisualization #SoftwareEngineering #ReservoirEngineering

Modern networks aren’t just configured — they’re engineered, automated, and version-controlled. To stay ahead of where infrastructure is going, I’m diving into Python for Network Engineering through CBT Nuggets. The focus isn’t just syntax — it’s automation, programmability, and building scalable solutions. I’ll be working with: • Network scripting fundamentals • Automating configuration tasks • Interacting with devices programmatically • Building repeatable, efficient workflows As networking continues shifting toward automation-first design, Python isn’t optional — it’s foundational. Excited to integrate this into my labs and production-level thinking. Always building. Always leveling up. #NetworkEngineering #NetworkAutomation #Python #DevNet #ContinuousImprovement

🚀 I built a Mission Control dashboard for Claude Code #ClaudeCode #AI #DevTools #Automation #FullStack #Python #React #SelfHosted If you've ever worked with Claude Code on multiple projects at the same time, you know the pain: dozens of terminal tabs, losing track of which session needs input, constantly switching context. So I built Vestal — a self-hosted orchestration platform that lets you manage multiple Claude Code sessions from a single browser tab, across local and remote servers. How it works under the hood: Each Claude Code session runs inside a tmux session. Vestal's backend

Secure MCP Development with Python and Gemini CLI Launches New Workflow Integration 📌 Secure local AI agent development just got easier with a new Python-based MCP server that integrates seamlessly with Gemini CLI via stdio. This streamlined workflow enables rapid, isolated development of context-aware AI agents without network exposure, leveraging FastMCP’s type-safe SDK and automated setup for instant tool integration. 🔗 Read more: https://lnkd.in/dmBDN3m5 #Python #Geminicli #Modelcontextprotocol #Fastmcp #Stdiotransport

I've been experimenting with gesture detection using MediaPipe and decided to open-source a small toolkit. mediapipe-gesture-signals is a lightweight Python toolkit that turns MediaPipe landmarks into stable gesture signals for real-time applications. MediaPipe is great at detecting landmarks, but most applications don't need raw coordinates every frame. They need intent signals like: touch_nose · pinch · nod · shake_head 👋 This project adds a simple layer that converts noisy landmark streams into readable gesture events that apps can actually use. The goal is simple: make gesture detection readable, reusable, and stable for interactive systems. 🔗 GitHub: https://lnkd.in/d_niqxP2 #ComputerVision #MediaPipe #AIEngineering

When an LLM stops guessing and starts coding, reasoning transforms. The 2023 ‘Chain of Code’ paper revealed a powerful truth: for precise tasks, LLMs should write scripts handing logic to a Python interpreter and only stepping in when simulation fails. At Neksogix, we see this as the shift from monologue to orchestration, LLMs as managers delegating execution for verifiable automation. How is your organization leveraging code-generation in agentic workflows?  #Neksogix #ChainOfCode #AgenticAI #LLMs

🚀 Released pyvenvmerge v0.2.0 Over the past few weeks I’ve been building a CLI tool that safely merges multiple Python virtual environments by reconstructing dependencies instead of modifying venv internals. Version 0.2.0 introduces a major architectural improvement: 🔹 Planner-based architecture 🔹 Dry-run mode to preview merges 🔹 Conflict detection and reporting 🔹 JSON merge plan output 🔹 Automated unit + integration tests Example: pyvenvmerge envA envB --dry-run This shows the full merge plan and dependency conflicts before creating the environment. The project focuses on deterministic environment rebuilding and safe dependency resolution. GitHub: https://lnkd.in/gCaq49wA PyPI: https://lnkd.in/gac-GjXv Feedback and suggestions are welcome. #Python #OpenSource #CLI #SoftwareEngineering #DevTools

🚀 gridDisk & sphericalCap functions are out in the new v0.7.0 of #A5geo, available on npm, PyPi & crates. For more details on the API, check out the new Traversal docs page: https://lnkd.in/dSsvNTsu This was quite a challenge (but a lot of fun) to figure out and implement. Let me know in the comments what other features you would like. A great place to submit a request (or contribute a feature!) is on the A5 Github page https://lnkd.in/dmyQrMfg Contributions welcome in #TypeScript #Python and #Rust. #dggs #dataviz #datascience #maps #bigdata

🎙️ New episode of Breaktime Tech Talks is out! In Ep71, I dig into lessons learned building a GraphRAG app with Neo4j's Python package — including why letting the LLM decide your entire data model is a mistake and how providing entity/relationship patterns as boundaries makes all the difference. I also break down standout takeaways from Lize Raes' Devoxx Belgium talk on taking Langchain4j apps to production: wrapping RAG as an agent tool, programmatic tool filtering, sub-agent orchestration, and skipping unnecessary LLM hops to save tokens and latency. Give it a listen if you're working with knowledge graphs, RAG, or agentic architectures. 🎧 Listen: https://pod.fo/e/3b557d #btt #GraphRAG #Neo4j #Langchain4j #Java #Python #AI #LLM #AgenticAI #DevLife

✅ Day 56 of 100 Days LeetCode Challenge Problem: 🔹 #24 – Swap Nodes in Pairs 🔗 https://lnkd.in/g6W2b3Fq Learning Journey: 🔹 Today’s problem focused on swapping every two adjacent nodes in a linked list. 🔹 I used an iterative pointer manipulation approach to swap nodes in pairs without modifying node values. 🔹 A prev pointer helped connect previously swapped pairs with the current pair. 🔹 Careful handling of edge cases (empty list or single node) ensured correctness. Concepts Used: 🔹 Linked List Manipulation 🔹 Pointer Rewiring 🔹 Iterative Traversal 🔹 In-place Modification Key Insight: 🔹 Linked list problems often rely entirely on precise pointer updates. 🔹 Keeping track of previous connections prevents breaking the list structure. 🔹 Drawing pointer transitions step-by-step makes implementation much easier. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity