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  • 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
    • 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

      • Node.js — Node.js v24.0.0 (Current)

        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

          Node.js — Node.js v24.0.0 (Current)
        • The OpenSSL punycode vulnerability (CVE-2022-3602): Overview, detection, exploitation, and remediation | Datadog Security Labs

          emerging threats and vulnerabilities The OpenSSL punycode vulnerability (CVE-2022-3602): Overview, detection, exploitation, and remediation November 1, 2022 emerging vulnerability On November 1, 2022, the OpenSSL Project released a security advisory detailing a high-severity vulnerability in the OpenSSL library. Deployments of OpenSSL from 3.0.0 to 3.0.6 (included) are vulnerable and are fixed in

            The OpenSSL punycode vulnerability (CVE-2022-3602): Overview, detection, exploitation, and remediation | Datadog Security Labs
          • 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

            • 【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

              • Unicode is harder than you think · mcilloni's blog

                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

                • What's New in Emacs 28.1?

                  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

                  • 789 KB Linux Without MMU on RISC-V

                    Follow @popovicu94 In this guide, we’ll build a very tiny Linux kernel, weighing in at 789 K, and requiring no MMU support. We’ll write some userspace code and this will be deployed on a virtual RISC-V 64-bit machine, without MMU, and we’ll run some tiny programs of our own. As a reminder, please go through the guide for a micro Linux distro to understand the concepts behind what we’re doing today

                      789 KB Linux Without MMU on RISC-V
                    • Renato Athaydes

                      Revenge of Lisp (Part 1⁄2) Background vector created by upklyak - www.freepik.com This may surprise you if you know me, but I’ve been learning Common Lisp for a few weeks now. It all started when I was reading, funnily enough, a blog post about another, much more hyped, language called Julia. The post was titled Julia and the reincarnation of Lisp, and in it the author lamented that despite his lo

                      • Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics

                        Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics Michael Armbrust1, Ali Ghodsi1,2, Reynold Xin1, Matei Zaharia1,3 1Databricks, 2UC Berkeley, 3Stanford University Abstract This paper argues that the data warehouse architecture as we know it today will wither in the coming years and be replaced by a new architectural pattern, the Lakehouse, which will

                        • Plan 9 Desktop Guide

                          PLAN 9 DESKTOP GUIDE INDEX What is Plan 9? Limitations and Workarounds Connecting to Other Systems VNC RDP SSH 9P Other methods Porting Applications Emulating other Operating Systems Virtualizing other Operating Systems Basics Window Management Copy Pasting Essential Programs Manipulating Text in the Terminal Acme - The Do It All Application Multiple Workspaces Tiling Windows Plumbing System Admin

                          • Lisp as an Alternative to Java

                            In the October 1999 Communications of the ACM Lutz Prechelt had an interesting article entitled Comparing Java vs. C/C++ Efficiency Issues to Interpersonal Issues which asked 38 programmers to implement versions of a program in C, C++, or Java. The conclusions showed that Java was 3 or 4 times slower than C or C++, but that the variance between programmers was larger than the variance between lang

                            • OpenAssistant/oasst1 · Datasets at Hugging Face

                              'Jew' or 'rabbi'"},"role":{"kind":"string","value":"assistant"},"lang":{"kind":"string","value":"en"},"review_count":{"kind":"number","value":3,"string":"3"},"review_result":{"kind":"bool","value":true,"string":"true"},"deleted":{"kind":"bool","value":false,"string":"false"},"rank":{"kind":"number","value":1,"string":"1"},"synthetic":{"kind":"bool","value":false,"string":"false"},"model_name":{"ki

                                OpenAssistant/oasst1 · Datasets at Hugging Face
                              • Large Text Compression Benchmark

                                 Large Text Compression Benchmark Matt Mahoney Last update: July 3, 2025. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compressi

                                • 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
                                  • 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

                                    • 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

                                      • はじめての自然言語処理 ELECTRA(BERT の事前学習手法の改良)による固有表現抽出の検証 | オブジェクトの広場

                                        今回は BERT における事前学習の改良手法である ELECTRA の検証です。ELECTRA はモデルサイズ、データ、計算量が同一条件であればオリジナルの BERT を凌ぐ性能とのことなので結果が楽しみなところです。事前学習をした後のファインチューニングは、いつも livedoor News Corpus の文書分類ばかりだったので、今回は固有表現抽出を試すことにしました。 1. はじめに 今回は BERT における事前学習の改良手法である ELECTRA 1 の検証です。 BERT に関しては 第3回 で取り上げていますが、トークン化が Sentencepiece である為、トークン単位での処理に難がありました2。今回は ELECTRA を試すにあたり、そのあたりの対応も入れ、 Megagon Labs さんから公開されている UD_Japanese-GSD v2.6-NE 3 を使っ

                                          はじめての自然言語処理 ELECTRA(BERT の事前学習手法の改良)による固有表現抽出の検証 | オブジェクトの広場
                                        • 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
                                          • Pleasant debugging with GDB and DDD

                                            GDB is an old and ubiquitous debugger for Linux and BSD systems that has extensive language, processor, and binary format support. Its interface is a little cryptic, but learning GDB pays off. This article is a set of miscellaneous configuration and scripting tricks that illustrate reusable principles. It assumes you’re familiar with the basics of debugging, like breakpoints, stepping, inspecting

                                              Pleasant debugging with GDB and DDD
                                            • はじめての自然言語処理 ByT5 と Charformer の検証 | オブジェクトの広場

                                              トークナイザを使わない自然言語処理モデルである ByT5 と Charformer のご紹介です。従来の自然言語処理では多くの場合で文章を単語(あるいはサブワード)単位に分かち書きして処理しましたが、今回のモデルは直接、生のテキストを処理します。それでは実際に動かして単語(サブワード)ベースのモデルと比較してみましょう。 1. はじめに 今回は今年5月と6月に発表された ByT51 と Charformer2 の紹介をしたいと思います。一本の記事で 2 つのモデルを扱うのは、この連載では珍しいのですが、この二つはよく似ているというか、Charformer は 「ByT5 にもう一工夫加えたもの」くらいの認識なので、一度にさばいてしまいましょうということで。 さて、この二つのモデルの特徴ですが「分かち書きをしない」という点に尽きます。 今まで、この連載では BERT や T5 等の Tran

                                                はじめての自然言語処理 ByT5 と Charformer の検証 | オブジェクトの広場
                                              • Linear-time parser combinators

                                                My birthday just passed, and to relax I wrote a parser combinator library. Over the last few years, I have worked quite a bit with Ningning Xie and Jeremy Yallop on parser combinators, which has led to a family of parser combinators which have optimal linear-time performance in theory, and which are many times faster than lex+yacc in practice. But these use advanced multistage programming techniqu

                                                • Java Interview Questions

                                                  Java remains one of the most common and popular programming languages in the world because of its strong features. Therefore, it’s no surprise that good Java programmers are very much sought after by almost all organizations across the world – be it startups or large multinational corporations. Considering the above, we created a list of common job interview questions about Java programming with d

                                                    Java Interview Questions
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