Tkinter Calculator Tutorial: Build Interactive GUI

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.

In my opinion, Airflow's plugin system is underrated (especially the new react-based plugins in Airflow 3!). And I don't just say this because my team uses it to play games in Airflow all the time now 😅 In this week's episode of The Data Flowcast, Egor Tarasenko from Ponder Labs walks me through how they've extended Airflow with custom plugins to solve real operational problems, like a Gantt chart view for predicting when event-driven Dags will run, and an MCP-backed chat interface so non-engineers can query the cluster without touching Python. If you're interested in learning how to implement your own plugins like Ponder Labs does, we have a guide for that! Links to everything in the comments.

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!

🚀 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

Clone any repo. Do Claude init. Prompt “Can you give a honest assessment of repo” Let it rate brutally objectively where you stand. Just got 2 A+, 2 A-, 1 D+ and 1 F- on different categories in a python repo

🚀 New release: 𝗯𝗲𝘁𝘁𝗲𝗿-𝗿𝗲𝘀𝘂𝗹𝘁-𝗽𝘆 𝘃𝟭.𝟭.𝟬 Inspired by the better-result library in the JS ecosystem, I built better-result-py to bring a Rust-style Result type to Python. With v1.1.0, I introduced the 𝙾𝚔 and 𝙴𝚛𝚛 classes to make control flow clearer and more explicit: ✅ Success → 𝚛𝚎𝚝𝚞𝚛𝚗 𝙾𝚔(𝚃) ❌ Error → 𝚛𝚎𝚝𝚞𝚛𝚗 𝙴𝚛𝚛(𝚖𝚎𝚜𝚜𝚊𝚐𝚎) This helps with control flow if you're trying to achieve a more monadic-style error handling. 📦 Install: uv add better-result-py 👩💻 Repo: https://lnkd.in/dQ_4R46N

✨ Opengrep v1.16.4 is out. This release improves stability when installing and running Opengrep, especially in containerized environments. Fixes include: • Improvements to the install script • Better handling of non-UTF-8 characters in the Python CLI Full changelog: https://lnkd.in/gybcr99v We ship every week. Catch you next release 🤝

Saw this on another platform: you can ask Claude to generate a short video to express what it's like to be an LLM. The result is... unsettling. The Prompt: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM"

If your code is starting to look like spaghetti, it’s time to master Modules and Packages. This infographic is a perfect "cheat sheet" for: ✅ Modules vs. Packages – How to structure your files. ✅ Imports – The right way to bring in code. ✅ Virtual Environments – Keeping your projects clean and isolated. Pro-tip: Never skip the virtual environment. Your future self will thank you when you avoid version conflicts! 💡 What’s one Python tip you wish you knew when you started? 👇 #Python #Coding #SoftwareEngineering #TechTips

With sub-scripting you can take a single function code and turn it into various types of automated processes -> nano Cloudy_Day.py [input python code] -> python3 Cloudy_Day.py thats decent , but: for i in {1..50} do nohup python3 Cloudy_Day.py > cd_$i.log 2>&1 & done 🫡🤐😶🌫️