Mastering Kivy Scatter Widget for Interactive Transformations

Write portable plugins that run natively or in the browser using Python, Rust, C#, and more! 🐍🦀 https://www.fslabs.ca/sdk The Foresight Development Kit is shipping support for runtime extensions later this year. Write application code once, and automatically generate WASM and gRPC bindings. You can distribute these bindings to build your own internal or external extension ecosystem. This video shows identical extensions written in Python and Rust running in the browser!

🚀 PyQt5 – Hello World GUI Application In this module, I explored how to build a simple GUI application using PyQt5 in Python. The process starts with importing essential modules like QtCore, QtGui, and QtWidgets, followed by creating an application object using QApplication. A QWidget is used to create the main window, and a QLabel is added to display text like “Hello World”. The window’s size and position are set using the setGeometry() method, and the application runs through the main event loop using app.exec_(). As shown in the output on page 3, the program successfully creates a basic GUI window displaying the message, demonstrating the foundation of desktop application development in Python. 💡 A great starting point for beginners to understand GUI development using PyQt5. #Python #PyQt5 #GUI #Programming #AshokIT

Many modern apps rely on real-time data, like live sports scores, chat apps, collaborative tools, and more. A common way to power this is with WebSockets. In this tutorial, Nneoma explains how WebSockets work, how to build them in Python, and how to use them with FastAPI. https://lnkd.in/gFzfYuGV

As part of my journey toward the pinnacle of practical programming, I developed a Smart Alarm Clock application using Python 🐍. This project focuses on real-time functionality and user interaction, helping users manage their time efficiently with customizable alarm and snooze features. ✨ Key Features ✔️ Real-time digital clock display ✔️ User-defined alarm time (HH:MM:SS format) ✔️ Alarm alert with sound notification ✔️ Snooze option for flexible scheduling ✔️ Continuous time tracking with live updates

A Python package with 35M monthly downloads was compromised today. Malicious code. Credential exfiltration. Self-replication. The package was LiteLLM — the exact abstraction layer sitting between your app and every LLM provider you use. This is why your abstraction layer choice is an architectural decision, not a library preference. New article in first comment👇

🧑🏻💻 Been trying out Moss (YC F25) python sdk recently. They've got an interesting and fast approach toward document retrieval that was pretty quick to implement. 📝 Created a series of demo apps to better experiment and test it with, including: - Moss's vanilla quickstart example - An interactive CLI wrapped version for tweaking settings and using custom docs - A Promptfoo redteam set up (as a way of checking an LLM using retrieved documents, doesn't really test Moss itself) - Simple benchmarking tool to get a general sense of how source file sizes impact local latency. 🤔 If you're looking for faster document retrieval options, give Moss a go. My repo at https://lnkd.in/gvTcHYfP

Claude Agent SDK tracing in LangSmith just got an upgrade. Now you can trace: → Subagents → Child runs inside MCP tools → Cost tracking + more Update to the latest Python SDK to try it out. Docs: https://lnkd.in/gTaNkWMa

Created my Created a Django virtual environment today using python3 -m venv .venv. The lab explains why this matters: ‘Using a virtual environment avoids installing Django into a global Python environment and gives you exact control over the libraries used in an application.

Managing Python environments across different tools can get messy fast. As I’ve been using uv with good results in my Python projects, I decided to align agents around a uv-first workflow for generating and running code. Using one tool for environments, dependencies, and execution made the setup much simpler and more predictable. I wrote down how I set this up step by step: https://lnkd.in/dAvyjEwr There’s also a GitHub repo linked in the post with AGENTS.md and CLAUDE.md you can use as a starting point.

2 Useful python libraries you might need! 1. xlwings : turns your excel into executable app! use it as a function in python to do 1000s of calculations, like running design of experiments, optimizations etc. No more manual work. 2. Pyside: Turn you code into .exe and ship it as a GUI. I use it all the time to make applications.