Python SOME/IP Stack for Automotive Development

Been building a small Python toolkit over the past few days to automate the stuff I kept doing manually on my machine monitors CPU/RAM/disk in real time, sorts files automatically, runs scheduled jobs in the background, backs up folders to zips, and plots a live stats chart all from one CLI menu nothing groundbreaking, just scratching my own itch and figured I'd clean it up and open source it repo's up if you want to check it out or use it https://lnkd.in/dSyts_Gx built under Litends we're slowly open sourcing more of our internal tooling #Python #OpenSource #Automation #Litends

🚀 Shemul v1.0.1 is live from March 20, 2026 Your favorite project-aware CLI for Python just got smoother ⚙️ Organize all your repetitive commands in one place with shemul.json and run them with a clean, simple CLI 💻✨ No more messy scripts. No more forgotten commands. 📦 Install / Update: 👉 https://lnkd.in/gXhn-iSE 🌐 Learn more: 👉 https://lnkd.in/g58VTVDv #Shemul #Python #CLI #DevTools #OpenSource #Automation #STechBD

LiteLLLM [compromised] - Python library and proxy server that makes applications Llm-agnostic - Was a catchy phrase that I thought was going to help with model switching efficiently instead of custom code... until... it was found out that, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate!! Another reason why you don't want to just blindly follow the "Agent" hype with a a flashy site, PiP install and use it in prod. . https://lnkd.in/g5NDyj8C

Day 3/30 – Python Challenge 🐍 Today I built: File Search Tool 🔍 🔹 What it does: Searches for files in the system by name and returns their location instantly. 🔹 What I learned: Working with file systems using os module Traversing directories using os.walk() Handling user input and search logic 🔹 Challenge: Optimizing search for large directories and handling different file paths 👉 GitHub link: https://lnkd.in/dj_FEm5j Building real-world tools step by step 🚀 #Python #CodingChallenge #LearnInPublic #100DaysOfCode #Automation #DeveloperJourney

The combination of Fabric, CoPilot CLI and Handy is an amazing efficiency boost, add the WorkIQ MCP and you can then also correlate Chat, Email and Meeting data with your data in one query!

No handshake, no stream—just datagrams. This UDP example uses sendto() and recvfrom() to exchange a single message on a connectionless socket. Each call sends/receives one packet along with the sender address, illustrating UDP’s simple message-based semantics.#Python #UDP #SocketProgramming #Networking

𝗣𝗿𝗼𝘁𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝗥𝗢𝗦𝟮 𝗣𝘆𝘁𝗵𝗼𝗻 𝗰𝗼𝗱𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝘀𝗵𝗶𝗽𝗽𝗶𝗻𝗴 If you’re delivering ROS2 apps in Python, your .py files are fully readable by clients 👀 A simple fix: compile them into .so binaries using Cython. I automated this with a deploy.sh script that: 1. Finds all ament_python packages 2. Builds with Cython (.py → .so) 3. Removes source code from install/ Result: clean deploy, no readable source. 💡 Combine with Docker for an extra layer of protection. ⚠️ Note: .so is platform-specific (OS, Python, architecture must match) Here the example. https://lnkd.in/gdZVAv3s

In this example, I tried to create a TouchDesigner network using MCP with Claude Code. I challenged it to first read the Python script I had previously written in the same repo, and based only on its understanding of that script, create the TouchDesigner network. And as you can see, it did it!!!! On top of that, I had previously asked it to do the same thing but with a different functionality—cooldown debounce—while this latest one uses edge detection.

Killpy Launches Unified CLI for Python Environment Cleanup 📌 Killpy revolutionizes Python dev cleanup by unifying environment deletion across 11 package managers - from Conda to Pipenv - in one CLI. It smartly targets obsolete artifacts while sparing active setups, slashing disk bloat with zero-risk automation. Perfect for devs drowning in 10–40GB of stale virtual environments. 🔗 Read more: https://lnkd.in/d4n_iGqk #Killpy #Python #Cli #Virtualenvironment #Packagemanager

Efficiency = PySceneDetect + Python 💻 I’ve been experimenting with PySceneDetect to streamline my video processing pipeline, and the results are impressive. The library makes it incredibly easy to detect shot changes and split videos automatically. Whether you're using the CLI or the Python API, the level of control over threshold sensitivity is a game-changer. Here’s my basic workflow: 1. Initialize the SceneManager. 2. Add a ContentDetector (better for cuts than simple thresholding). 3. Perform the detection and save the list of scenes. Total time saved? Massive. If you're building anything involving video analysis or automated clip generation, this library is a must-have in your toolkit. #PythonProgramming #OpenSource #PySceneDetect #ComputerVision #SoftwareEngineering