If you’re a Python dev and you’re not using uv yet... You’re missing out. Ridiculously fast installs, clean CLI, and full pip/venv/setuptools replacement. And now there’s an incredible cheatsheet by @mathsppblog to help you master it! 🔥 Bookmark it now. Here's the uv repo, by the way: ↳ https://lnkd.in/efSBYj24

I’ve been exploring how Git really works by reimplementing it in Python — a project I call PyGit. It’s been a deep dive into version control fundamentals. So far, I’ve built: A Git-like object model (blobs, trees) SHA-1–based content-addressable storage A .pygit/objects directory structure A clean, modular CLI architecture using argparse https://lnkd.in/dtHpvP8U #Python #Git #OpenSource #SoftwareEngineering #LearningInPublic

Using a bare except in Python is a bad idea. It catches everything, even KeyboardInterrupt and SystemExit, which can silently hide real bugs and make debugging a nightmare. Catch known exceptions explicitly or use ''except Exception as e" as a last resort. I explained it clearly with examples in this short GitHub note 👇 https://lnkd.in/d9wGCqiD

Exploring Python with Docker made easy! 1. Create a new project or folder in your terminal 2. Execute the command at the end of this post It will link your current folder to a Jupyter Lab environment, allowing you to effortlessly craft Jupyter notebooks. No passwords needed, just a swift setup. Plus, new notebooks will remain in your local directory even after you stop the docker service. The beauty of this approach lies in the fact that your notebook remains stored in your local directory, ready for future use. #Python #Docker #JupyterLab #DataScience #TechTips ------- docker run -it --rm -p 8888:8888 -v "${PWD}":/home/jovyan/work jupyter/scipy-notebook:latest start-notebook.sh --NotebookApp.token='' --NotebookApp.password=''

I've released 2.14.0 of build-and-inspect-python package; your friendly GitHub Action that prevents embarrassing PyPI uploading mistakes. Main reason for a rather rushed release is that some people seem to get Python 3.14 when asking GHA for `3.x`. https://lnkd.in/dsYdyFTV

PowerShell as layman Me to PowerShell: Use pip to install package (pip install <whatever package>) PowerShell: I don’t know where that tool is. I’ve never heard of it. (Even though the pip was sitting quietly in a corner of your Python folder, your system wasn’t told to look there. 🤖) How to Fix: Me to PowerShell: Hey Python, you know where your tools are — can you grab pip and use it? (python -m pip install <whatever package>).

🔍 Open Source LinkedIn Series 🔍 Discover a faster, more efficient pre-commit solution built with Rust — no Python required! Enhance your development workflow with this innovative tool that promises improved performance and ease of use. 🔗 GitHub: https://lnkd.in/ezAHaXya

𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗨𝗣𝗗𝗔𝗧𝗘: 𝟮𝟬𝟮𝟱𝗖𝗪𝟒𝟏 This week, the most important work was around the Rust core. As all Rust component now in the same library, it is easier to refactor to make more efficient. The two major candidate for the refactoring was the KeyManager and the Web service. Now the system starts in 3ms, and uses about 10MB memory. The request handling with PQC messages blazing fast, while still didn't tested with multi thread use. The next week aim, to migrate all the base services, to expose only minimal surface towards Python. For this reason several Python service will be entirely migrated which previously used mixed Python/Rust code. Exciting days!

Excited for this Python #quant tutorial solving a common problem: Exchanges publish statistics on wildly different schedules - some continuously during trading, others just a few times daily, and it all varies by product. If you're building strategies or infra around market data, you need to know these schedules. We wrote a tutorial on how to programmatically find the publishing schedule for any instrument statistic:

🔴 How to customize your Python's Interactive Console using only the standard library? In this little PoC I added some features to Python's REPL, including: ✅ Custom command history  ✅ Tab completition ✅ Custom eval with meta-commands: `!help !clear` ✅ Custom parser (for now, it just replaces the words `add` with `+` and `minus` with `-`) ✅ One script. Less than 100 lines of codes I'll share the tutorial in the comments! 🌟