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  • 新入社員のみんな、「ChatGPT×Python」で鬼にならないか?|ピーナッツ

    ChatGPTが本当にヤバい。 断言する。新卒がこれを使いこなせば、今職場で「優秀」とされている5-6年目くらいの先輩なら余裕で出し抜ける。鬼になれる。 筆者はメーカー社員なので、メーカーの新入社員がChatGPTを使って鬼になる方法を1つ提案したい。 「ChatGPT×Python」である。 Pythonとは、ご存知のとおり物理シュミレーションからデータサイエンス、機械学習までカバーする汎用性をそなえたプログラミング言語だ。何でもできるわりには書ける人がなぜか少なく、いまだにスキルとして重宝されている。 そんなPythonにChatGPTを使おう。 ChatGPTを使えば、上司から求められるアウトプットを一瞬で出すことができる。それに対してフィードバックをもらい、それも一瞬で打ち返すことができる。 「あいつ"Python書ける"だけじゃないんだよな。こっちが言ったこと正確に理解するし、そ

      新入社員のみんな、「ChatGPT×Python」で鬼にならないか?|ピーナッツ
    • プロと読み解く Ruby 3.0 NEWS - クックパッド開発者ブログ

      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

        プロと読み解く Ruby 3.0 NEWS - クックパッド開発者ブログ
      • プロと読み解くRuby 3.4 NEWS - STORES Product Blog

        プロと読み解くRuby 3.4 NEWS テクノロジー部門技術基盤グループの笹田(ko1)と遠藤(mame)です。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、恒例のクリスマスリリースとして、Ruby 3.4.0 がリリースされました(Ruby 3.4.0 リリース )。今年も STORES Product Blog にて Ruby 3.4 の NEWS.md ファイルの解説をします(ちなみに、STORES Advent Calendar 2024 の記事になります。他も読んでね)。NEWS ファイルとは何か、は以前の記事を見てください。 プロと読み解く Ruby 2.6 NEWS ファイル - クックパッド開発者

          プロと読み解くRuby 3.4 NEWS - STORES Product Blog
        • The Prompt Engineering Playbook for Programmers

          Developers are increasingly relying on AI coding assistants to accelerate our daily workflows. These tools can autocomplete functions, suggest bug fixes, and even generate entire modules or MVPs. Yet, as many of us have learned, the quality of the AI’s output depends largely on the quality of the prompt you provide. In other words, prompt engineering has become an essential skill. A poorly phrased

            The Prompt Engineering Playbook for Programmers
          • research!rsc: Coroutines for Go

            This post is about why we need a coroutine package for Go, and what it would look like. But first, what are coroutines? Every programmer today is familiar with function calls (subroutines): F calls G, which stops F and runs G. G does its work, potentially calling and waiting for other functions, and eventually returns. When G returns, G is gone and F continues running. In this pattern, only one fu

            • Python×株式投資:従来の100倍!銘柄選抜のバックテストを高速化した話 - Qiita

              # ----------------------------- # 2nd Screening V1 # ----------------------------- import time global_start_time = time.time() from google.colab import drive drive.mount('/content/drive') import pandas as pd import numpy as np import os from tqdm.notebook import tqdm import yfinance as yf from curl_cffi import requests # -------------------------------------------------- # ヘルパー関数定義セクション # --------

                Python×株式投資:従来の100倍!銘柄選抜のバックテストを高速化した話 - Qiita
              • The Scary Thing About Automating Deploys - Engineering at Slack

                Most of Slack runs on a monolithic service simply called “The Webapp”. It’s big – hundreds of developers create hundreds of changes every week. Deploying at this scale is a unique challenge. When people talk about continuous deployment, they’re often thinking about deploying to systems as soon as changes are ready. They talk about microservices and 2-pizza teams (~8 people). But what does continuo

                • Changing std::sort at Google’s Scale and Beyond

                  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

                    Changing std::sort at Google’s Scale and Beyond
                  • Things we learned about LLMs in 2024

                    31st December 2024 A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments. This is a sequel to my review of 2023. In this article: The GPT-4 barrier was comprehensively broken Some of those GPT-4 models run on my laptop LLM pri

                      Things we learned about LLMs in 2024
                    • 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

                        Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction - cl-fast-ecs by Andrew
                      • June 2022 (version 1.69)

                        Update 1.69.1: The update addresses these issues. Update 1.69.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the June 2022 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: 3-way merge editor - Resolve merge conflicts wit

                          June 2022 (version 1.69)
                        • Agents

                          Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.” The unprecedented capabilities of foundation models have opened the door to agentic applications that were previously unimaginabl

                            Agents
                          • RFC 9562: Universally Unique IDentifiers (UUIDs)

                             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

                              RFC 9562: Universally Unique IDentifiers (UUIDs)
                            • Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)

                              Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da

                              • 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

                                    Parsing SQL - Strumenta
                                  • 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

                                      How I developed a faster Ruby interpreter | Red Hat Developer
                                    • June 2023 (version 1.80)

                                      Update 1.80.1: The update addresses these issues. Update 1.80.2: The update addresses this security issue. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the June 2023 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Accessibility improvements - Accessible V

                                        June 2023 (version 1.80)
                                      • Kalyn: a self-hosting compiler for x86-64

                                        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

                                        • February 2021 (version 1.54)

                                          Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.54.1: The update addresses an issue with an extension dependency. Update 1.54.2: The update addresses these issues. Update 1.54.3: The update addresses this issue. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the February 2021 release of Vi

                                            February 2021 (version 1.54)
                                          • Patterns for Building LLM-based Systems & Products

                                            Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”

                                              Patterns for Building LLM-based Systems & Products
                                            • July 2022 (version 1.70)

                                              Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.70.1: The update addresses these issues. Update 1.70.2: The update addresses these issues. Update 1.70.3: This update is only available for Windows 7 users and is the last release supporting Windows 7. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welc

                                                July 2022 (version 1.70)
                                              • Node.js

                                                Notable Changes Deprecations and Removals (SEMVER-MAJOR) fs: remove permissive rmdir recursive (Antoine du Hamel) #37216 (SEMVER-MAJOR) fs: runtime deprecate rmdir recursive option (Antoine du Hamel) #37302 (SEMVER-MAJOR) lib: runtime deprecate access to process.binding('http_parser') (James M Snell) #37813 (SEMVER-MAJOR) lib: runtime deprecate access to process.binding('url') (James M Snell) #377

                                                  Node.js
                                                • A Walk with LuaJIT

                                                  The following is a chronicle of implementing a general purpose zero-instrumentation BPF based profiler for LuaJIT. Some assumptions are made about what this entails and it may be helpful to read some of our other work in this area. One major change from prior efforts is that instead of working with the original Parca unwinder we are now working with the OpenTelemetry eBPF profiler. If you missed t

                                                    A Walk with LuaJIT
                                                  • Why I use attrs instead of pydantic

                                                    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

                                                    • Ruff v0.1.0

                                                      As a reminder: Ruff is an extremely fast Python linter, written in Rust. Ruff can be used to replace Flake8 (plus dozens of plugins), isort, pydocstyle, pyupgrade, and more, all while executing tens or hundreds of times faster than any individual tool. Ruff is used in production by tens of thousands of open source projects and major enterprises. In the last year, we've been working to expand Ruff'

                                                        Ruff v0.1.0
                                                      • python_modules.pdf

                                                        Python3 OpenCV / Pillow / pygame / Eel / PyDub / NumPy / matplotlib / SciPy / SymPy / gmpy2 / hashlib, passlib / Cython / Numba / ctypes / PyInstaller / curses / tqdm / JupyterLab / json / psutil / urllib / zenhan / jaconv Copyright © 2017-2025, Katsunori Nakamura 2025 8 19 Python ‘ .py’ Python Python Windows PSF Python py .py Enter macOS Linux PSF Python python3 .py Enter Anaconda Prompt Python p

                                                        • 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

                                                            What's new in Python 3.11?
                                                          • 0.8.0 Release Notes ⚡ The Zig Programming Language

                                                            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

                                                            • Building the fastest Lua interpreter.. automatically!

                                                              This is Part 1 of a series of posts. Part 2 is available here: Building a baseline JIT for Lua automatically It is well-known that writing a good VM for a dynamic language is never an easy job. High-performance interpreters, such as the JavaScript interpreter in Safari, or the Lua interpreter in LuaJIT, are often hand-coded in assembly. If you want a JIT compiler for better performance, well, you’

                                                                Building the fastest Lua interpreter.. automatically!
                                                              • Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

                                                                AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b

                                                                  Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
                                                                • How a simple Linux kernel memory corruption bug can lead to complete system compromise

                                                                  In this case, reallocating the object as one of those three types didn't seem to me like a nice way forward (although it should be possible to exploit this somehow with some effort, e.g. by using count.counter to corrupt the buf field of seq_file). Also, some systems might be using the slab_nomerge kernel command line flag, which disables this merging behavior. Another approach that I didn't look

                                                                  • So You Want To Remove The GVL?

                                                                    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

                                                                    • Maestro: Netflix’s Workflow Orchestrator

                                                                      By Jun He, Natallia Dzenisenka, Praneeth Yenugutala, Yingyi Zhang, and Anjali Norwood TL;DRWe are thrilled to announce that the Maestro source code is now open to the public! Please visit the Maestro GitHub repository to get started. If you find it useful, please give us a star. What is MaestroMaestro is a horizontally scalable workflow orchestrator designed to manage large-scale Data/ML workflows

                                                                        Maestro: Netflix’s Workflow Orchestrator
                                                                      • AI Canon | Andreessen Horowitz

                                                                        Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have h

                                                                          AI Canon | Andreessen Horowitz
                                                                        • January 2024 (version 1.86)

                                                                          Version 1.106 is now available! Read about the new features and fixes from October. Update 1.86.2: The update addresses these issues. Update 1.86.1: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the January 2024 release of Visual Studio Code. There are many updates in this version that we hope you'll lik

                                                                            January 2024 (version 1.86)
                                                                          • OBS Studio に関するメモ - すたいるのOBS情報メモブログ

                                                                            OBS Studioに関する情報メモを書いてる記事 ※「OBS Studioに関する個人的メモ」を移転しました。(現在は閲覧不可) 記事投稿日 2021年10月6日 本記事は文字数が非常に多いため、ブラウザの検索機能をご活用ください。 ブラウザ検索のショートカットキー ・Windows : Ctrl + F ・macOS : Command + F 見づらくて申し訳ありません。 将来的には内容を分割して投稿したいと考えていますが、分けても長くなってしまうため、当面はこのページにまとめています。 この記事は以下の環境を使用して作成しています。 ※Linux、特定のデバイスが無いと表示されないソースのことはメモしていません。 ■Windowsの場合 OBS Studio 31.1.2 (それ以前のバージョン、および開発版も含む) OS : Windows 11 Pro 64bit (バージョン

                                                                              OBS Studio に関するメモ - すたいるのOBS情報メモブログ
                                                                            • 0.10.0 Release Notes ⚡ The Zig Programming Language

                                                                              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

                                                                              • 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

                                                                                • Eliciting Reasoning in Language Models with Cognitive Tools

                                                                                  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