Check HTTP Status & RTT with Python CLI

Midiscript.org | The core repo is a small Python DSL that turns files into… The core repo is a small Python DSL that turns `.ms` files into MIDI. Under the hood it’s a CLI + lexer + parser + MIDI generator.

🚀 What’s happening in Django & Python? (Week 9, 2026) This week’s updates are actually pretty wild—especially if you're into AI pipelines or high-performance Python. Here’s the breakdown: 🎸 The Django Side Control Room is a lifesaver: You can finally manage Redis and cache panels directly from the Django admin. No more jumping between tools to see what’s happening under the hood. 🛠️ Django-guardian 3.3.0: It’s now ready for Python 3.14. Plus, they’ve cut down on DB queries for permissions, which is a huge win for performance. ✨ AI Pipelines are evolving: There’s a new workflow using Firecrawl and Pydantic AI agents. If you're building directory sites, this basically automates the headache of data extraction and validation. 🤖 GSoC 2026: Django is officially back as a mentoring org! If you’ve been wanting to contribute to open source, now is the time to prep. 🎓 🐍 The Python Side Starlette 1.0.0rc1: Can you believe it’s been 8 years? The first release candidate for 1.0.0 is finally out. Huge milestone for the ecosystem. 🥂 Free-threaded Python (Barq): This one is for the performance geeks. Barq is an experimental HTTP library skipping the usual async models to explore true parallelism. ⚡ Type Grammar (PEP 827): Python typing is getting even more flexible with conditional expressions and new annotations. 💻 City2Graph: If you work with ML and maps, check this out. It turns geospatial data into graph structures, making it way easier to process.🗺️ Personal Take: That AI Content Pipeline is probably the biggest productivity hack on this list if you’re doing any kind of web scraping or data curation right now. ⏳ #Python #Django #WebDev #OpenSource #AI #SoftwareEngineering #code2encoder

Building a Web Scraper in Python: A Step-by-Step Guide Transform your browser into a data goldmine with Python! From simple requests to advanced proxy rotation, this guide makes web scraping feel like magic. https://lnkd.in/g8CbYGwx

Python Output Challenge ! What will be the output of this code? 👇 x = "code n facts" y = x x = x.upper() print(y) A. CODE N FACTS B. code n facts C. Error D. None Think carefully before answering ! Drop your answer in the comments ⬇️ 💡 Let’s test your understanding of Python strings & variable referencing. #Python #PythonProgramming #CodingChallenge #LearnToCode #CodeNFacts #ProgrammingBasics #TechEducation #Developers #100DaysOfCode #CodingCommunity

Will Rust kill Python in data engineering? No. But it has already consumed much of the JavaScript tooling ecosystem. And it's quietly doing the same in data. The pattern: Python remains the interface, Rust becomes the engine. Polars, DataFusion internals - all Rust under the hood, all Python on top. You don't need to learn Rust. But you should know what's happening beneath your Python code. https://lnkd.in/eyhTe44T

ContextGem, our open-source Python framework for structured data extraction from documents using LLMs, now supports Python 3.14 🐍 v0.21.0 adds full compatibility with Python 3.14, alongside continued support for 3.10–3.13. GitHub: https://lnkd.in/d7pQWbqf (The awesome Python 3.14 logo is from python.org)

ContextGem, an open-source framework by shcherbak_ai for structured data extraction from documents using LLMs, now supports Python 3.14, alongside 3.10-3.13 🐍

Reading CSV into #Python #Pandas? Pass header to specify the row containing column names: pd.read_csv(f, header=3) No headers at all? Just pass header=None: pd.read_csv(f, header=None) Pass a list for multi-indexed column names: pd.read_csv(f, header=[3, 4])

🐳 Python + Docker – Production trips If your Python app runs in Docker, remember 3 things: 1️⃣ Use multi-stage builds – keep build tools out of runtime. 2️⃣ Don’t run as root – least privilege always. 3️⃣ Keep the image minimal – fewer packages, fewer CVEs. Production isn’t just “it works on my machine.” It’s about reducing attack surface before someone else finds it. Multi-stage + Non-root + Minimal image = Production-ready container. #Python #Docker #DevSecOps #CloudSecurity #Kubernetes #SecurityByDesign