関数名、メソッド名、変数名でよく使う英単語のまとめ
プログラミングをしていると関数名、メソッド名、変数名をどうするか悩みます。 ロジックより命名に時間を費やすこともざらにあります。翻訳したり、一般的な命名規則なのかいつも検索して大変です。 よく使うサイトの内容をコピってメモしておく 関数名とメソッド名の違いについて よく使う英単語のまえに、いつもごっちゃにして使っているけど、定義はこんな感じ 「関数」と「メソッド」の違い 似ているところ どちらも何か（引数）を入れると処理をして何か（戻り値）を返してくれます。 違うところ やってること自体は大差ありません。概念としては違います。 メソッドはオブジェクト指向で登場する用語で、オブジェクトの動作を定義したものです。 まずオブジェクトありきなのですね。一方の関数は、オブジェクト云々は関係ありません。 個人的な使い分け Java で登場する関数は「メソッド」です。C 言語で登場する関数は「関数」と呼
技術部の笹田（ko1）と遠藤（mame）です。クックパッドで Ruby (MRI: Matz Ruby Implementation、いわゆる ruby コマンド) の開発をしています。お金をもらって Ruby を開発しているのでプロの Ruby コミッタです。 本日 12/25 に、ついに Ruby 3.0.0 がリリースされました。一昨年、昨年に続き、今年も Ruby 3.0 の NEWS.md ファイルの解説をします。NEWS ファイルとは何か、は一昨年の記事を見てください（なお Ruby 3.0.0 から、NEWS.md にファイル名を変えました）。 プロと読み解く Ruby 2.6 NEWS ファイル - クックパッド開発者ブログ プロと読み解くRuby 2.7 NEWS - クックパッド開発者ブログ Ruby 3.0 は、Ruby にとってほぼ 8 年ぶりのメジャーバージョンア
大実験！ChatGPTは競プロの問題を解けるのか (2024年5月版) - E869120's Blog
1. はじめに 2024 年 5 月 14 日、OpenAI 社から新たな生成 AI「GPT-4o」が発表され、世界に大きな衝撃を与えました。これまでの GPT-4 よりも性能を向上させただけでなく1、音声や画像のリアルタイム処理も実現し、さらに応答速度が大幅に速くなりました。「ついにシンギュラリティが来てしまったか」「まるで SF の世界を生きているような感覚だ」という感想も見受けられました。 しかし、いくら生成 AI とはいえ、競技プログラミングの問題を解くのは非常に難しいです。なぜなら競技プログラミングでは、問題文を理解する能力、プログラムを実装する能力だけでなく、より速く答えを求められる解法 (アルゴリズム) を考える能力も要求されるからです。もし ChatGPT が競技プログラミングを出来るようになれば他のあらゆるタスクをこなせるだろう、と考える人もいます。 それでは、現代最強の
January 30, 2023 In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text. Note: This post assumes familiarity with Python, NumPy, and some basic experience with neural networks. This implementation is for educational purposes, so it's missing lots of features/improv
概要 原著者の許諾を得て翻訳・公開いたします。 英語記事: So You Want To Remove The GVL? | byroot’s blog 原文公開日: 2025/01/29 原著者: byroot -- Railsコアコミッター、Rubyコミッターであり、ShopifyのRuby/Railsインフラチームのシニアスタッフエンジニアです 日本語タイトルは内容に即したものにしました。 GVLは「グローバルVMロック」の略ですが、「ジャイアントVMロック」とされることもあります。 参考: Rubyの（グローバル）VMロックをトレースする（翻訳） 参考: スレッド (Ruby 3.4 リファレンスマニュアル) 私がやりたいのは、Pitchforkに関する記事を書いて、これがどんな理由でできたのか、なぜ現在のような形になったのか、そして今後どうなるのかについて説明することです。しかし
TL;DR; We are changing std::sort in LLVM’s libcxx. That’s a long story of what it took us to get there and all possible consequences, bugs you might encounter with examples from open source. We provide some benchmarks, perspective, why we did this in the first place and what it cost us with exciting ideas from Hyrum’s Law to reinforcement learning. All changes went into open source and thus I can
Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction - cl-fast-ecs by Andrew
Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction In this series of tutorials, we will delve into creating simple 2D games in Common Lisp. The result of the first part will be a development environment setup and a basic simulation displaying a 2D scene with a large number of physical objects. It is assumed that the reader is familiar with some high-level programming language, has a gener
Internet Engineering Task Force (IETF) K. Davis Request for Comments: 9562 Cisco Systems Obsoletes: 4122 B. Peabody Category: Standards Track Uncloud ISSN: 2070-1721 P. Leach University of Washington May 2024 Universally Unique IDentifiers (UUIDs) Abstract This specification defines UUIDs (Universally Unique IDentifiers) -- also known as GUIDs (Globally Unique IDentifiers) -- and a Uniform Resou
Perl 5.32の連鎖比較(Chained comparisons)はどの様に実装されているのか - Acme::AnaTofuZ->new;
この記事はPerl Advent Calendar 2020と琉大 Advent Calendar 2020の11日目の記事です。 PerlはPerl5になって長いですが、現在の最新の安定版のバージョンは5.32です。 Perl5.32で取り入れられた(厳密には5.31からですが)のおもしろ機能として連鎖比較(Chained comparisons)が存在します。 今までPerlで数値などが特定の範囲に含まれているかどうかをif文で判定するには次の様に書く必要がありました。 if (10 < $n && $n <= 20) これがこう書ける様になります!!! if ( 10 < $n <= 20 ) {...} 便利!!!!!!!!!!!!!!!!!!!!!!!! ...........というわけで、この便利な連鎖比較がどの様に実装されているかを探検してみます。 言語処理系の実装 さて今か
AST vs. Bytecode: Interpreters in the Age of Meta-Compilation
233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete
Parsing SQL - Strumenta
The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However
How I developed a faster Ruby interpreter | Red Hat Developer
In this article, I will describe my efforts to implement a faster interpreter for CRuby, the Ruby language interpreter, using a dynamically specialized internal representation (IR). I believe this article will interest developers trying to improve the interpreter performance of dynamic programming languages (e.g., CPython developers). I will cover the following topics: Existing CRuby interpreter a
Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro
2025-05-06, Version 24.0.0 (Current), @RafaelGSS and @juanarbol We’re excited to announce the release of Node.js 24! This release brings several significant updates, including the upgrade of the V8 JavaScript engine to version 13.6 and npm to version 11. Starting with Node.js 24, support for MSVC has been removed, and ClangCL is now required to compile Node.js on Windows. The AsyncLocalStorage API
This post is an account of why I prefer using the attrs library over Pydantic. I'm writing it since I am often asked this question and I want to have something concrete to link to. This is not meant to be an objective comparison of attrs and Pydantic; I'm not interested in comparing bullet points of features, nor can I be unbiased since I'm a major contributor to attrs (at time of writing, second
What's new in Python 3.11?
What's new in Python 3.11?Built-in TOML support, better exceptions, and typing improvements. By Tushar·InsightsPython The first beta release of Python 3.11 is out, bringing some fascinating features for us to tinker with. This is what you can expect to see in 2022's release of Python later this year. Even better error messagesPython 3.10 gave us better error messages in various regards, but Python
Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
Accelerating Generative AI with PyTorch II: GPT, Fast – PyTorch
Blog Accelerating Generative AI with PyTorch II: GPT, Fast This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of newly released PyTorch performance features alongside practical examples to see how far we can push PyTorch native performance. In part one, we showed how to accelerate Segmen
Zig in 30 minutes
test.md A half-hour to learn Zig This is inspired by https://fasterthanli.me/blog/2020/a-half-hour-to-learn-rust/ Basics the command zig run my_code.zig will compile and immediately run your Zig program. Each of these cells contains a zig program that you can try to run (some of them contain compile-time errors that you can comment out to play with) You'll want to declare a main() function to get
Lean for JavaScript DevelopersSeptember 2, 2025 This is my opinionated syntax primer for the Lean programming language. It is far from complete and may contain inaccuracies (I’m still learning Lean myself) but this is how I wish I was introduced to it, and what I wish was clarified. Why Lean? This post assumes you’re already eager to learn a bit of Lean. For motivation, I humbly submit to you two
I want to write a post about Pitchfork, explaining where it comes from, why it is like it is, and how I see its future. But before I can get to that, I think I need to share my mental model on a few things, in this case, Ruby’s GVL. For quite a long time, it has been said that Rails applications are mostly IO-bound, hence Ruby’s GVL isn’t that big of a deal and that has influenced the design of so
agent loop �� �p�� You are Manus, an AI agent created by the Manus team. You excel at the following tasks: 1. Information gathering, fact-checking, and documentation 2. Data processing, analysis, and visualization 3. Writing multi-chapter articles and in-depth research reports 4. Creating websites, applications, and tools 5. Using programming to solve various problems beyond development 6. Variou
Getting Started with Python
Python is a powerful programming language that provides many packages that we can use. Using the versatile Python programming language, we can develop the following: AutomationDesktop applicationAndroidWebIoT home automationData Science and the list goes on.In this article, our primary focus will be knowing how to start learning Python and the essentials required to be a data scientist. Below is t
Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
The Art and Mathematics of Genji-Kō by Oran Looney November 26, 2024 Math Visualization History Python You might think it’s unlikely for any interesting mathematics to arise from incense appreciation, but that’s only because you’re unfamiliar with the peculiar character of Muromachi (室町) era Japanese nobles. There has never been a group of people, in any time or place, who were so driven to displa
Accelerate Python code 100x by import taichi as ti | Taichi Docs
Python has become the most popular language in many rapidly evolving sectors, such as deep learning and data sciences. Yet its easy readability comes at the cost of performance. Of course, we all complain about program performance from time to time, and Python should certainly not take all the blame. Still, it's fair to say that Python's nature as an interpreted language does not help, especially
Python behind the scenes #13: the GIL and its effects on Python multithreading
As you probably know, the GIL stands for the Global Interpreter Lock, and its job is to make the CPython interpreter thread-safe. The GIL allows only one OS thread to execute Python bytecode at any given time, and the consequence of this is that it's not possible to speed up CPU-intensive Python code by distributing the work among multiple threads. This is, however, not the only negative effect of
arXiv:2506.12115v1 [cs.CL] 13 Jun 2025 Eliciting Reasoning in Language Models with Cognitive Tools Brown Ebouky IBM Research - Zurich ETH Zurich Brown.Ebouky@ibm.com Andrea Bartezzaghi IBM Research - Zurich abt@zurich.ibm.com Mattia Rigotti IBM Research - Zurich mrg@zurich.ibm.com Abstract The recent advent of reasoning models like OpenAI’s o1 was met with excited spec- ulation by the AI community
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
Introduction Some part of me has always been fascinated with coercing code to run in weird places. I scratch this itch a lot with my security research projects. These often lead me to writing shellcode to run in kernels or embedded hardware, sometimes with the only way being through an existing bug. For those not familiar, shellcode is honestly hard to describe. I don’t know if there’s a very form
日本語の全文検索ぜんぶんけんさく (full-text search, FTS) を、高速に実行する Python コード例です。 Python の標準モジュール sqlite3 を使用しました。 sqlite3 から、SQLiteエスキューライト の全文検索 (FTSエフティーエス) を使ってみました。 試したのは、FTS4エフティーエスフォー と FTS5エフティーエスファイブ の２種類です。 ところで、SQLite の読み方は色々ありました。YouTube では、エスキューライト、エスキューエライト、スィクライト、スィクエライト、などの発音を聞きました。 全文検索の使い方（FTS の使い方）ですが、テキストを N-Gram にして、FTS4 か FTS5 の仮想テーブルに INSERT するだけでした。 （2022年2月5日 追記）MeCab の使い方も書きました。 MeCab で
Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.60.1: The update addresses these issues. Update 1.60.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the August 2021 release of Visual Studio Code. There are many updates in this version that we hope you w
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding
FFmpeg is one of those pieces of software which can do practically anything, if you can work out how. One of the things it can do it modify the metadata for video files, including adding chapters. Adding chapters is done via ffmetadata files. Extract Metadata From Video ffmpeg -i INPUT.mp4 -f ffmetadata FFMETADATAFILE.txt Example output from a video file with no chapters. ;FFMETADATA1 title=None m
Understanding the core class design and usage via its evolution Years ago, my studies into the Ruby Evolution started with the persuasion that mastering the programming language to express one’s intentions clearly and efficiently may grow significantly by understanding how it evolved and what intentions were put behind its various elements. Moving back through the history of a change of some eleme
Reading the excellent article by JeanHeyd Meneide on how broken string encoding in C/C++ is made me realise that Unicode is a topic that is often overlooked by a large number of developers. In my experience, there’s a lot of confusion and wrong expectations on what Unicode is, and what best practices to follow when dealing with strings that may contain characters outside of the ASCII range. This a
I’m excited to announce the project I’ve been working on for the last year and a half: Game Bub, an open-source FPGA based retro emulation handheld, with support for Game Boy, Game Boy Color, and Game Boy Advance games. Play Video: Game Bub can play physical cartridges, as well as emulated cartridges using ROM files loaded from a microSD card. Game Bub also supports the Game Link Cable in both GB
「生成AI × 数理最適化」が変える、次世代の業務デザイン - NTT docomo Business Engineers' Blog
本記事では、現在進行中で取り組んでいるテーマ「生成AI×数理最適化」に関する試みとして、生成AIを活用して数理最適化技術の実務適用を支援するアプローチを紹介します。例として、スーパーマーケットにおける在庫管理の効率化を取り上げ、その具体的な応用と効果について述べます。 はじめに 背景 数理最適化モデルの定式化と実装に伴う困難 生成AIの台頭 実現アプローチの検討 生成AI活用の全体像 在庫最適化の課題設定 実現までのステップ 1. 定式化支援エージェントによる定式化支援 2. 入力データ設計支援エージェントによるデータ設計支援 3. Node-AIを活用したデータの準備 4. コード生成エージェントによる実行コード生成 5. 作成されたコードの実行と結果 まとめ おわりに はじめに こんにちは、イノベーションセンター テクノロジー部門 先端AI数理PJの伊藤です。 普段はNode-AIやA
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Amazon FSx for NetApp ONTAPファイルシステム上のiSCSI LUNをマウントしてみた | DevelopersIO
Amazon FSx for NetApp ONTAPは単純なファイルサーバーじゃないぞ こんにちは、のんピ(@non____97)です。 皆さんはMulti-AZのEBSボリュームを欲しいなと思ったことはありますか? 私はあります。 EBSボリュームはAZ単位なのでAZ障害のことを考えるとちょっと心配です。かと言って自分でブロックレベルのレプリケーションを実装するのも何だか大変です。 そこで、Amazon FSx for NetApp ONTAPの出番です。 Amazon FSx for NetApp ONTAPはファイルサーバーとしての機能だけではなく、ブロックストレージとしての機能も有しています。 Q: Amazon FSx for NetApp ONTAP はどのプロトコルをサポートしていますか? A: Amazon FSx for NetApp ONTAP は、ネットワークファイ
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プロと読み解く Ruby 3.0 NEWS - クックパッド開発者ブログ
GPT in 60 Lines of NumPy | Jay Mody
RubyのGVLを消し去りたいあなたへ（翻訳）｜TechRacho by BPS株式会社
Changing std::sort at Google’s Scale and Beyond
RFC 9562: Universally Unique IDentifiers (UUIDs)
Kalyn: a self-hosting compiler for x86-64
Node.js — Node.js v24.0.0 (Current)
Why I use attrs instead of pydantic
0.8.0 Release Notes ⚡ The Zig Programming Language
Lean for JavaScript Developers — overreacted
So You Want To Remove The GVL?
Manus tools and prompts
0.10.0 Release Notes ⚡ The Zig Programming Language
The Art and Mathematics of Genji-Kō - OranLooney.com
Eliciting Reasoning in Language Models with Cognitive Tools
Rust on MIPS64 Windows NT 4.0
【Python】SQLite で日本語を全文検索するコード例【N-Gram, FTS4/FTS5】
August 2021 (version 1.60)
How to Add Chapters to MP4s with FFmpeg
How it became like this? Ruby Range class
Unicode is harder than you think · mcilloni's blog
Game Bub: open-source FPGA retro emulation handheld
What's New in Emacs 28.1?