Liveblocks Python SDK Released

Python SDK for Liveblocks. Power your collaborative back end with our new SDK for Python. Featuring 85+ methods for managing rooms, updating realtime storage, building agent workflows, and more. https://lblcks.io/TJF1J4n

https://lnkd.in/enAnqgKh This is how you name software Also a great solution for agents - giving them full access to Python can be a recipe for disaster but fully removing python can limit their ability as they often need it to do complex parsing or other tasks.

Async IO in Python is single-threaded. No mutexes, no race conditions, no surprise context switches. Coming from multi-threaded code, this felt like cheating. With threads, anything can interrupt anything. You lock shared state, hope you got it right, and debug it six months later when you didn't. With async, control only transfers at await. That's it. Your data is safe between those points by definition, not by luck. The payoff was immediate. Refactored a GitHub API client to fetch a user profile and repo list at the same time using asyncio.gather(). Two concurrent HTTP calls. No threads, no locks. The mental model shift took longer than the code change. If you've been avoiding async because threads burned you before, it's not the same thing.

🐍📰 Python mmap: Improved File I/O With Memory Mapping In this tutorial, you'll get a quick overview of the different types of memory before diving into how and why memory mapping with mmap can make your file I/O operations faster. #python

LangChain Revision #4: Prompts in Langchain Why Use Prompt Templates Over Python f-strings? As Python devs, f-strings feel natural for handling placeholders. So why does LangChain push you toward PromptTemplate instead? Turns out there are 3 solid reasons: 1. Validation — automatically checks if all placeholders are filled, catching errors during development rather than at runtime on a production server 2. Reusability — templates can be saved as JSON files and loaded across multiple apps and pages, keeping your code clean and modular 3. Ecosystem Integration — designed to work directly with LangChain Chains, so you can tie a template and a model together and invoke the entire pipeline in one call That's the kind of thing f-strings simply can't do. Drop a comment if you find it useful! Follow + 🔔 to get notified as the series grows. Revision #4 | LangChain Revision Series hashtag#LangChain hashtag#GenAI hashtag#LLMEngineering hashtag#RAG hashtag#GenerativeAI

📢 How to Build an MCP Server from Scratch Using Python in 2026 This guide provides a detailed walkthrough for developers on building a Model Context Protocol server with Python to enhance AI capabilities. 📖 Read more on Lead AI Dev #AI #AIDev #MCPserver #Python #ainews https://is.gd/22l87B

📢 How to Build an MCP Server from Scratch Using Python in 2026 This guide provides a detailed walkthrough for developers on building a Model Context Protocol server with Python to enhance AI capabilities. 📖 Read more on Lead AI Dev #AI #AIDev #MCPserver #Python #ainews https://is.gd/22l87B

🐍📰 Gemini CLI vs Claude Code: Which to Choose for Python Tasks Gemini CLI vs Claude Code: compare setup, performance, code quality, and cost to find the right Python AI coding tool for your workflow https://lnkd.in/gGAXv_ph