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  • Command Line Interface Guidelines

    Contents Command Line Interface Guidelines An open-source guide to help you write better command-line programs, taking traditional UNIX principles and updating them for the modern day. Authors Aanand Prasad Engineer at Squarespace, co-creator of Docker Compose. @aanandprasad Ben Firshman Co-creator Replicate, co-creator of Docker Compose. @bfirsh Carl Tashian Offroad Engineer at Smallstep, first e

      Command Line Interface Guidelines
    • Introducing Ezno

      Ezno is an experimental compiler I have been working on and off for a while. In short, it is a JavaScript compiler featuring checking, correctness and performance for building full-stack (rendering on the client and server) websites. This post is just an overview of some of the features I have been working on which I think are quite cool as well an overview on the project philosophy ;) It is still

        Introducing Ezno
      • 100+ Best GitHub Repositories For Machine Learning

        There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper

          100+ Best GitHub Repositories For Machine Learning
        • Rewriting the Ruby parser

          At Shopify, we have spent the last year writing a new Ruby parser, which we’ve called YARP (Yet Another Ruby Parser). As of the date of this post, YARP can parse a semantically equivalent syntax tree to Ruby 3.3 on every Ruby file in Shopify’s main codebase, GitHub’s main codebase, CRuby, and the 100 most popular gems downloaded from rubygems.org. We recently got approval to merge this work into C

            Rewriting the Ruby parser
          • Writing Toy Software Is A Joy

            I am a huge fan of Richard Feyman’s famous quote: “What I cannot create, I do not understand” I think it’s brilliant, and it remains true across many fields (if you’re willing to be a little creative with the definition of ‘create’). It is to this principle that I believe I owe everything I’m truly good at. Some will tell you to avoid reinventing the wheel, but they’re wrong: you should build your

            • 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

              • Connect RPC joins CNCF: gRPC you can bet your business on

                Connect RPC, Buf’s family of fully protocol-conformant and battle-tested alternatives to Google’s gRPC project, has joined the Cloud Native Computing Foundation. We joined the CNCF to demonstrate our deep commitment to sustainably and responsibly growing Connect as a well-governed and community-led open source project. Today, Connect integrates seamlessly with gRPC systems in production at compani

                  Connect RPC joins CNCF: gRPC you can bet your business on
                • Building a Toy Programming Language in Python

                  I thought it would be fun to go outside of my comfort zone of web development topics and write about something completely different and new, something I have never written about before. So today, I'm going to show you how to implement a programming language! The project will parse and execute programs written in a simple language I called my (I know it's a lame name, but hey, it is "my" language).

                    Building a Toy Programming Language in Python
                  • 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

                    • Delimiter-first code

                      Summary I argue for wider usage of delimiter-first in the code three friends [tic, tac, toe] becomes three friends ・tic ・tac ・toe. A new top-level syntax for programming languages is proposed to show advantages of this method. New syntax is arguably as simple, but more consistent, better preserves visual structure and solves some issues in code formatting. Related: comma-first formatting A well-kn

                      • 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

                        • Advent of Code on the Nintendo DS

                          It is December. That means annoying Christmas things are everywhere, including but not limited to the annual programming semi-competition known as Advent of Code. The problem with Advent of Code is that it is a waste of time. Most of the puzzles are in the realm of either string processing (somewhat applicable to programming), logic puzzles (not really applicable to most programming), or stupid go

                          • Advice for the next dozen Rust GUIs

                            A few times a week, someone asks on the #gui-and-ui channel on the Rust Discord, “what is the best UI toolkit for my application?” Unfortunately there is still no clear answer to this question. Generally the top contenders are egui, Iced, and Druid, with Slint looking promising as well, but web-based approaches such as Tauri are also gaining some momentum, and of course there’s always the temptati

                            • School Of SRE

                              School of SRE Site Reliability Engineers (SREs) sits at the intersection of software engineering and systems engineering. While there are potentially infinite permutations and combinations of how infrastructure and software components can be put together to achieve an objective, focusing on foundational skills allows SREs to work with complex systems and software, regardless of whether these syste

                              • 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

                                • How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking – OpenAI Triton And PyTorch 2.0

                                  How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking – OpenAI Triton And PyTorch 2.0 Over the last decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have come and gone, but most have relied heavily on leveraging Nvidia’s CUDA and performed best on Nvidia GPUs. However, with the arrival of PyTorch 2.0 and OpenAI’s Triton, Nvidia’

                                    How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking – OpenAI Triton And PyTorch 2.0
                                  • GitHub - linkedin/school-of-sre: At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

                                    Site Reliability Engineers (SREs) sits at the intersection of software engineering and systems engineering. While there are potentially infinite permutations and combinations of how infrastructure and software components can be put together to achieve an objective, focusing on foundational skills allows SREs to work with complex systems and software, regardless of whether these systems are proprie

                                      GitHub - linkedin/school-of-sre: At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.
                                    • 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

                                      • xvw.lol - Why I chose OCaml as my primary language

                                        This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d

                                        • A 2025 Survey of Rust GUI Libraries

                                          I did this in 2020 and then again in 2021, but I’m in the mood to look around again. Let’s look through Are We GUI Yet? and see what’s up these days. The task today is to have a text label and an input field that can change the text in the label. In React, for example, this is basically free: const Demo = () => { let [state, setState] = useState("Hello, world!"); return ( <div> <p>{state}</p> <inp

                                          • A Lisp REPL as my main shell

                                            If you enjoy this article and would like to help me keep writing, consider chipping in, every little bit helps to keep me going :) Thank you! Update: As of 2021-02-07, not all the code and configurations used in this presentation have been published. Should happen in the coming days, stay tuned! Introduction video The concepts I’m going to present in this article were featured in a presentation at

                                            • Rust is more portable than C for pngquant/libimagequant

                                              Improved portability and performance 🦀 libimagequant is a library for generating high-quality palettes, useful for compression of transparent PNG images (~75% smaller!) and making nice GIF animations. libimagequant is now a pure Rust library. The new version is a drop-in replacement (ABI-compatible), so C projects can continue using it. The C version will be maintained for a while to give library

                                              • Announcing: Learn TLA+

                                                tl;dr: online TLA+ manual/advanced techniques/examples here. TLA+ is a tool for testing abstract software designs. I first stumbled on it in 2016 and found it so useful I wrote a free online guide to help others learn it. Then I decided the guide wasn’t good enough and wrote Practical TLA+ in 2018. Then I decided the book wasn’t good enough and needed a second edition. Just kidding! Book’s never g

                                                • Julia 1.6: what has changed since Julia 1.0?

                                                  Julia 1.0 came out well over 2 years ago. Since then a lot has changed and a lot hasn’t. Julia 1.0 was a commitment to no breaking changes, but that is not to say no new features have been added to the language. Julia 1.6 is a huge release and it is coming out relatively soon. RC-1 was released recently. I suspect we have at least a few more weeks before the final release. The Julia Core team take

                                                  • Flipping Pages: An analysis of a new Linux vulnerability in nf_tables and hardened exploitation techniques

                                                    This blogpost is the next instalment of my series of hands-on no-boilerplate vulnerability research blogposts, intended for time-travellers in the future who want to do Linux kernel vulnerability research. Specifically, I hope beginners will learn from my VR workflow and the seasoned researchers will learn from my techniques. In this blogpost, I'm discussing a bug I found in nf_tables in the Linux

                                                    • Introducing Apache Arrow Flight SQL: Accelerating Database Access

                                                      Introducing Apache Arrow Flight SQL: Accelerating Database Access Published 16 Feb 2022 By José Almeida, James Duong, Vinicius Fraga, Juscelino Junior, David Li, Kyle Porter, Rafael Telles We would like to introduce Flight SQL, a new client-server protocol developed by the Apache Arrow community for interacting with SQL databases that makes use of the Arrow in-memory columnar format and the Flight

                                                        Introducing Apache Arrow Flight SQL: Accelerating Database Access
                                                      • GitHub - graninas/The-Voids-Of-Haskell

                                                        I often hear how happy Haskellers are because they have such a great and unique language. They must be proud of how the outer world respects this Haskell technical superiority, and how the language influences all the other languages. This is deserved for sure, and it’s definitely a reason for pride. But when it comes to the closer comparison with any other mainstream language, we see that not ever

                                                          GitHub - graninas/The-Voids-Of-Haskell
                                                        • Optimize PyTorch Performance for Speed and Memory Efficiency (2022) | Towards Data Science

                                                          Tuning deep learning pipelines is like finding the right gear combination (Image by Tim Mossholder on Unsplash) Why should you read this post? The training/inference processes of deep learning models are involved lots of steps. The faster each experiment iteration is, the more we can optimize the whole model prediction performance given limited time and resources. I collected and organized several

                                                            Optimize PyTorch Performance for Speed and Memory Efficiency (2022) | Towards Data Science
                                                          • Simon Peyton Jones

                                                            Recorded 2022-02-01. Published 2022-03-25. Simon Peyton Jones is interviewed by Andres Löh and Joachim Breitner. Simon is the creator of Haskell and in this episode he talks about his new position at Epic, the origins of Haskell and why “it feels right”, and the (extra)ordinary Haskell programmers. Andres Löh: Hello Simon. Thank you so much for joining us today. Simon Peyton Jones: Hi Andres, hi J

                                                            • Implementing MLOps practices with Amazon SageMaker JumpStart pre-trained models | Amazon Web Services

                                                              Artificial Intelligence Implementing MLOps practices with Amazon SageMaker JumpStart pre-trained models Amazon SageMaker JumpStart is the machine learning (ML) hub of SageMaker that offers over 350 built-in algorithms, pre-trained models, and pre-built solution templates to help you get started with ML fast. JumpStart provides one-click access to a wide variety of pre-trained models for common ML

                                                                Implementing MLOps practices with Amazon SageMaker JumpStart pre-trained models | Amazon Web Services
                                                              • The AI-Native Software Engineer

                                                                An AI-native software engineer is one who deeply integrates AI into their daily workflow, treating it as a partner to amplify their abilities. This requires a fundamental mindset shift. Instead of thinking “AI might replace me” an AI-native engineer asks for every task: “Could AI help me do this faster, better, or differently?”. The mindset is optimistic and proactive - you see AI as a multiplier

                                                                  The AI-Native Software Engineer
                                                                • Autotools: a tutorial

                                                                  Embedded Linux Conference 2016 GNU Autotools: a tutorial Free Electrons - Embedded Linux, kernel, drivers and Android - Development, consulting, training and support. http://free-electrons.com 1/99 Thomas Petazzoni I CTO and Embedded Linux engineer at Free Electrons I Embedded Linux specialists. I Development, consulting and training. I http://free-electrons.com I Contributions I Kernel support fo

                                                                  • 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
                                                                    • MLOps foundation roadmap for enterprises with Amazon SageMaker | Amazon Web Services

                                                                      Artificial Intelligence MLOps foundation roadmap for enterprises with Amazon SageMaker As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientist

                                                                        MLOps foundation roadmap for enterprises with Amazon SageMaker | Amazon Web Services
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