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  • プロと読み解く Ruby 3.1 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 3.1.0 がリリースされました(Ruby 3.1.0 リリース )。今年も Ruby 3.1 の NEWS.md ファイルの解説をします。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 プロと読み解くRuby 3.0 NEWS - クックパッド開発者ブログ 本記事は新機能を解説することもさることながら、変更が入った背景や苦労な

      プロと読み解く Ruby 3.1 NEWS - クックパッド開発者ブログ
    • GPT in 60 Lines of NumPy | Jay Mody

      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

      • 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

        • 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

          • 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?
            • 0.10.0 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

              • 【GROMACS】Umbrella samplingによるMD simulation 【In silico創薬】【SMD】 - LabCode

                Windows 11 Home, 13th Gen Intel(R) Core(TM) i7-13700, 64 ビット オペレーティング システム、x64 ベース プロセッサ, メモリ:32GB Umbrella Samplingの概要と目的Umbrella Samplingは、分子がめったに起こさないような状態変化(たとえば、タンパク質同士が離れるなど)を詳しく調べるための計算手法です。通常の分子動力学(MD)では、エネルギー的に安定な状態にとどまりやすく、重要な変化が起こる確率が低いため、十分な情報が得られません。 たとえば、タンパク質AとBがくっついている状態から、少しずつ離れていく様子を観察したいとき、まずAとBを少しずつ引き離すSteered Molecular Dynamics(SMD)などのシミュレーションで、さまざまな距離の構造を取得します。その中から、0.5nm、0.7

                • NumPy 2.0.0 Release Notes — NumPy v2.4.dev0 Manual

                  Getting started What is NumPy? Installation NumPy quickstart NumPy: the absolute basics for beginners Fundamentals and usage NumPy fundamentals NumPy for MATLAB users NumPy tutorials NumPy how-tos Advanced usage and interoperability Using NumPy C-API F2PY user guide and reference manual Under-the-hood documentation for developers Interoperability with NumPy Extras Glossary Release notes 2.4.0 2.3.

                  • Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers

                    For demonstration purposes, we'll fine-tune the multilingual version of the small checkpoint with 244M params (~= 1GB). As for our data, we'll train and evaluate our system on a low-resource language taken from the Common Voice dataset. We'll show that with as little as 8 hours of fine-tuning data, we can achieve strong performance in this language. 1{}^11 The name Whisper follows from the acronym

                      Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers
                    • Type Parameters Proposal

                      Ian Lance Taylor Robert Griesemer August 20, 2021 StatusThis is the design for adding generic programming using type parameters to the Go language. This design has been proposed and accepted as a future language change. We currently expect that this change will be available in the Go 1.18 release in early 2022. AbstractWe suggest extending the Go language to add optional type parameters to type an

                      • Scientific Computing in Rust - aftix's dominion

                        While getting my degree in Physics, I had to take classes in both MatLab and Python for scientific computing. I preferred python, where we used the SciPy and NumPy packages. In fact, I used those packages again (along with matplotlib) in an undergraduate research project simulating bacteria films. There's a catch: I was also pursuing a degree in Computer Science, and Python just wasn't fast enough

                        • cuneicode, and the Future of Text in C

                          Following up from the last post, there is a lot more we need to cover. This was intended to be the post where we talk exclusively about benchmarks and numbers. But, I have unfortunately been perfectly taunted and status-locked, like a monster whose “aggro” was pulled by a tank. The reason, of course, is due to a few folks taking issue with my outright dismissal of the C and C++ APIs (and not showi

                            cuneicode, and the Future of Text in C
                          • Python behind the scenes #6: how Python object system works

                            As we know from the previous parts of this series, the execution of a Python program consists of two major steps: The CPython compiler translates Python code to bytecode. The CPython VM executes the bytecode. We've been focusing on the second step for quite a while. In part 4 we've looked at the evaluation loop, a place where Python bytecode gets executed. And in part 5 we've studied how the VM ex

                            • Nine Rules for Elegant Rust Library APIs

                              Photo by Kai Dahms on UnsplashI love creating software libraries. Two months ago, I started porting one of our Python packages into a Rust crate. This new Rust crate matches the Python package’s ease of use and expressiveness. Along the way, I learned nine rules that can help you create beautiful libraries in Rust. The rules are: Create examples that don’t embarrass you.Accept all kinds of strings

                                Nine Rules for Elegant Rust Library APIs
                              • GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI

                                ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu

                                  GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
                                • Django for Startup Founders: A better software architecture for SaaS startups and consumer apps

                                  In an ideal world, startups would be easy. We'd run our idea by some potential customers, build the product, and then immediately ride that sweet exponential growth curve off into early retirement. Of course it doesn't actually work like that. Not even a little. In real life, even startups that go on to become billion-dollar companies typically go through phases like: Having little or no growth fo

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