uv + Ruff + mypyで構築する超軽量Python開発環境 – イメージサイズ削減・型安全性確保を実現
はじめに ども！前回「DevContainer と uv で構築する爆速 Python 開発環境」という記事を書いた龍ちゃんです。 この記事を社内で報告したところ、上司から「リンターとフォーマッターは何を使っているの？」という質問をいただきました。確かに、せっかくパッケージマネージャーに uv を採用しているなら、同じ Astral 社が開発している Ruff で統一した方が良いですよね！ ということで今回は、uv + Ruff で統一した Python 開発環境を構築してみました。さらに、ベースイメージも見直すことで、イメージサイズを 83%削減（1.63GB → 273MB）することに成功しています。 Streamlit を使ったデータ分析アプリをサンプルとして作成していますが、もちろん Streamlit 以外のプロジェクトでも利用可能です。リポジトリは公開しているので、必要な方はク
uv is the best thing to happen to the Python ecosystem in a decade - Blog - Dr. Emily L. Hunt
uv is the best thing to happen to the Python ecosystem in a decade Programming 23 October 2025 | Reading time: 6 minutes It’s 2025. Does installing Python, managing virtual environments, and synchronizing dependencies between your colleagues really have to be so difficult? Well… no! A brilliant new tool called uv came out recently that revolutionizes how easy installing and using Python can be. uv
Python 3.14 Is Here. How Fast Is It?
In November of 2024 I wrote a blog post titled "Is Python Really That Slow?", in which I tested several versions of Python and noted the steady progress the language has been making in terms of performance. Today is the 8th of October 2025, just a day after the official release of Python 3.14. Let's rerun the benchmarks to find out how fast the new version of Python is! Note: If you do not care ab
davepeck.org
Python 3.14's new t‑strings add flexibility and power to the language's arsenal of string processing tools. They make it easy to distinguish between static and dynamic content—essential for safe web templating. That's why we're excited to introduce tdom, a brand-new toolkit that leverages t‑strings and brings Python web templates into the modern era. It's easy to use: write HTML in a t‑string and
PythonBPF - Writing eBPF Programs in Pure Python | mallya's blog
IntroductionPython-BPF offers a new way to write eBPF programs entirely in Python, compiling them into real object files. This project is open-source and available on GitHub and PyPI. I wrote it alongside R41k0u. Published Library with Future PlansPython-BPF is a published Python library with plans for further development towards production-ready use. You can pip install pythonbpf but it’s certain
Rye Tables vs Python/Pandas: A Different Way to Wrangle Data
Exploring tabular data across Rye, Pandas, and plain Python through three worked examples. If you’ve ever filtered a CSV in Pandas or written multiple nested for loops to group data in Python, you’ll probably find Rye’s take on the problem interesting. Rye is a small, homoiconic language inspired by Rebol and Factor. One of its most interesting value types is the Table. A first-class, immutable da
Python has had async for 10 years -- why isn't it more popular?
Python has had async for 10 years -- why isn't it more popular? The Python Documentary dropped this morning. In the middle of the documentary, there’s a dramatic segment about how the transition from Python 2 to 3 divided the community (spoiler alert: it didn’t in the end). The early versions of Python 3 (3.0-3.4) were mostly focused on stability and offering pathways for users moving from 2.7. Al
Litestar is worth a look
A few years ago at work, I had a project which offered an opportunity to look at the new generation of async-first, type-hint-driven Python web frameworks. For reasons which aren’t particularly relevant today, on that project I ended up choosing Litestar, which is the one that doesn’t have a ravenous all-consuming hype machine surrounding it. And I’m very glad I did, because today I’m more convinc
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Laurence Tratt: Async and Finaliser Deadlocks
Emma's Blog - Decompression is up to 30% faster in CPython 3.15
A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16
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riffq - PostgreSQL Wire-Compatible Databases in Python
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Hypothesis
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