Rye: A Vision Continued
written on February 04, 2024 In April of last year I released Rye to the public. Rye, both then and now, represents my very personal vision of what an improved Python packaging and project management solution can look like. Essentially, it’s a comprehensive user experience, designed so that the only tool a Python programmer would need to interface with is Rye itself and it gets you from zero to on
Python 3.13 gets a JIT
Happy New Year everyone! In late December 2023 (Christmas Day to be precise), CPython core developer Brandt Bucher submitted a little pull-request to the Python 3.13 branch adding a JIT compiler. This change, once accepted would be one of the biggest changes to the CPython Interpreter since the Specializing Adaptive Interpreter added in Python 3.11 (which was also from Brandt along with Mark Shann
Why if TYPE_CHECKING?
Dec 11 2023 I saw this tweet over the weekend and wanted to dive into the fundamental question behind this: Given this potential error, why do we use conditional imports at all, or, more specifically, when might we use this pattern? The TL;DR is that we use this pattern to hedge between the differences in typechecking enforced by mypy and typechecking as it happens at runtime, particularly when we
俺が考える最強の「麻雀点数申告練習アプリケーション」を作ってみる ~ Pythonによる麻雀点数計算問題の自動生成と音声による点数申告 ~ - エムスリーテックブログ
こちらはエムスリー Advent Calendar 2023 1日目の記事です。 Overview エムスリーエンジニアリンググループ AI・機械学習チームでソフトウェアエンジニアをしている中村(po3rin) です。趣味は麻雀でフリー雀荘で毎年200半荘以上打ちます。好きな麻雀プロは園田賢さんです。 麻雀を始めるときに一番の障壁になるのは点数計算ではないでしょうか？ 特に符計算が初心者の関門のようです。一方私のような初中級者でも突然のレアな点数申告にまごつくことがあります。 そこで、今回はその人に合った麻雀の点数計算問題(主に符計算が焦点となる問題)を生成して、自分で点数計算&点数申告の練習をする方法を探求したのでその紹介をします。麻雀用語が少しだけ登場するので、対象読者は麻雀を少しでもかじったことのあるエンジニアの方です。 Overview 麻雀の点数計算の難しさ 現状の点数計算の練習
Rust std fs slower than Python!? No, it's hardware!
I'm about to share a lengthy tale that begins with Apache OpenDAL™ op.read() and concludes with an unexpected twist. This journey was quite enlightening for me, and I hope it will be for you too. I'll do my best to recreate the experience, complete with the lessons I've learned along the way. Let's dive in! All the code snippets and scripts are available in Xuanwo/when-i-find-rust-is-slow TL;DRJum
Fixit 2: Meta’s next-generation auto-fixing linter
Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit 2 allows developers to efficiently build custom lint rules and perform auto-fixes for their codebases. Fixit 2 is available today on PyPI. Python is one of the most popular languages in use at Meta. Meta’s production engineers (PEs) are specialized software engineers (SWEs) who focus on reliability,
It's Time For A Change: datetime.utcnow() Is Now Deprecated
I was going through the release notes of the new Python 3.12 version the other day, and one item caught my attention in the deprecations section: datetime.datetime’s utcnow() and utcfromtimestamp() are deprecated and will be removed in a future version. If you have followed my web development tutorials you must have seen me use utcnow() a lot, so I will clearly need to re-train myself to use an al
Do not use requirements.txt
Are you developing a backend service in Python? I have two pieces of advice for you: Do not use pip and requirements.txt to manage Python dependencies. They lack crucial features that should be built-in. Use Poetry instead. To me, the first one is a no-brainer. The second one is more tentative: Poetry is a great option, but it’s hardly the only option worth considering. I’ll explain below. pip’s m
Python is a Compiled Language
This blog post hopes to convince you that Python is a compiled language. And by “Python”, I don’t mean alternate versions of Python like PyPy, Mypyc, Numba, Cinder, or even Python-like programming languages like Cython, Codon, Mojo1—I mean the regular Python: CPython! The Python that is probably installed on your computer right now. The Python that you got when you searched “python” on Google and
NEC、Pythonを用いたデータ分析を高速化するソフトウェア「FireDucks」の無償提供を開始
NEC は、プログラミング言語「Python」を用いたデータ分析において標準的に使用されているテーブルデータ分析用ライブラリ「pandas」を高速化するソフトウェア「FireDucks」を開発しました(注1)。データ分析に必要なデータの前処理を最大16倍(注2)高速化し、データ分析にかかる時間の大幅な削減とコンピューティングコストの低減に貢献します。 また本日よりFireDucksのβ版をオンライン(https://fireducks-dev.github.io/)で公開します。どなたでも無償でご使用いただくことが可能です。 近年POSやEコマース等の売り上げデータや金融取引のトランザクションデータなど、大量のデータが容易に取得できるようになりましたが、それらデータから価値ある分析結果を導き出すためには、人工知能(以下、AI)や機械学習(machine learning： 以下、ML)を使
Profiling Python and Ruby using eBPF
tl;dr In our continued efforts to expand and improve your profiling experience, we are excited to announce new additions to our language support: Ruby and Python. All the features that are described in this blog post have recently been released as part v0.26.0 of Parca Agent. ~~While currently these language supports are in beta, they can be enabled using the --enable-ruby-unwinding and --enable-p
Why and How Does Python Use Bloom Filters in String Processing?
In our last discussion we learned all about bloom filters. It’s a unique data structure that provides membership queries in constant time while using a minimal quantity of memory. Primarily, you will find them being used in large scale and streaming applications where it is infeasible to keep all the data in memory. Examples include NoSQL databases, CDNs, load balancers, etc. However, it also has
Visualizing the CPython Release Process
Below are the high-level steps (with numbers corresponding to the above diagram) in the order they occur during the CPython release process: Freeze the python/cpython release branch. This is done using GitHub Branch Protections. Update the Release Manager's fork of python/cpython. Run Python release tools (release-tool, blurb, sphinx, etc). Push diffs and signed tag to Release Manager's fork. Git
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GitHub - mckinsey/vizro: Vizro is a low-code toolkit for building high-quality data visualization apps.
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