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  • 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

    • Bugs in Hello World

      Hello World might be the most frequently written computer program. For decades, it's been the first program many people write, when getting started in a new programming language. Surely, this humble starting-point program should be bug free, right? After all, hello world programs only do one thing. How could there be a bug? Hello world in C There are a lot of different ways to write hello world in

      • Lies we tell ourselves to keep using Golang

        👋 This page was last updated ~3 years ago. Just so you know. In the two years since I’ve posted I want off Mr Golang’s Wild Ride, it’s made the rounds time and time again, on Reddit, on Lobste.rs, on HackerNews, and elsewhere. And every time, it elicits the same responses: You talk about Windows: that’s not what Go is good at! (Also, who cares?) This is very one-sided: you’re not talking about th

          Lies we tell ourselves to keep using Golang
        • Gaussian Splattingを試す (Windows) – ft-lab

          Gaussian Splattingは、SIGGRAPH 2023で発表されたプロジェクトです。 複数枚の写真からその空間のあらゆるところから見たビューを補間します。 同じ技術にNeRFがありますが、これの欠点を補った理論のようです(アルゴリズムはまだ未調査)。 NeRFの問題は、かなり大雑把な書き方ですが大きく以下の2点があります。 トレーニング時間がかかる 最終的な空間の復元で解像度不足 (なんだか眠い) GitHubのリポジトリはこちらになります。 https://github.com/graphdeco-inria/gaussian-splatting 今回はGaussian Splattingを試す流れをまとめることにしました。 CUDA11.8とAnaconda3を使います。 GoProで撮影した動画を使ってウォークスルーするまでを行います。 検証環境 OS : Windows

          • The day my ping took countermeasures

            Once my holidays had passed, I found myself reluctantly reemerging into the world of the living. I powered on a corporate laptop, scared to check on my email inbox. However, before turning on the browser, obviously, I had to run a ping. Debugging the network is a mandatory first step after a boot, right? As expected, the network was perfectly healthy but what caught me off guard was this message:

              The day my ping took countermeasures
            • LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus

              LambdaLisp is a Lisp interpreter written as an untyped lambda calculus term. The input and output text is encoded into closed lambda terms using the Mogensen-Scott encoding, so the entire computation process solely consists of the beta-reduction of lambda calculus terms. When run on a lambda calculus interpreter that runs on the terminal, it presents a REPL where you can interactively define and e

                LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus
              • M1 MacでScipyが入らないときにやったこと - Qiita

                M1 Macでpyenv環境を作成してもろもろライブラリをインストールしようとしたところ、scipyが入らない。 scipyが入らないとscikit-learnが入らないので致命的。 ※ pyenvではpythonバージョンを3.9.16としている エラーメッセージ Collecting scipy Using cached scipy-1.10.1.tar.gz (42.4 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Installing backend dependencies ... done Preparing metadata (pyproject.toml) ... error error: subprocess-exited-with-error

                  M1 MacでScipyが入らないときにやったこと - Qiita
                • A year of uv: pros, cons, and should you migrate

                  Summary(Warning, this is a long article. I got carried away.) After one year of trying uv, the new Python project management tool by Astral, with many clients, I have seen what it's good and bad for. My conclusion is: if your situation allows it, always try uv first. Then fall back on something else if that doesn’t work out. It is the Pareto solution because it's easier than trying to figure out w

                    A year of uv: pros, cons, and should you migrate
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