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開発組織の生産性を可視化するState of DevOpsとFour Keysとは(増補改訂版) / Introduction to State of DevOps and Four Keys for Visualizing Productivity in Development Organizations expanded and revised edition
以下のイベントの発表資料です。 https://phpcon.php.gr.jp/2022/ 想定課題 開発がスケールしたり、開発年数が経過すると、様々な要因で開発生産性の低下が起こります。 そこで現場のエンジニアは改善をしたくなるかと思いますが、大抵の場合、ステークホルダーと工数確保の合意が必要になります。 その際にこのようなことを言われがちではないでしょうか？ 今動いているものを直す必要ある？ 効果測定どうやんの？ 費用対効果はどれくらい？ パフォーマンスチューニングの世界には「推測するな計測せよ」という言葉がありますが、開発組織における生産性についても測定してモニタリングする必要があると思います。 本セッションの目標 以上を踏まえ、本トークでは開発組織とステークホルダーの間の共通言語を獲得することを目標に以下の内容についてお話します。 State of DevOpsとは Four K
GitHub - rustviz/rustviz: Interactively Visualizing Ownership and Borrowing for Rust
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That wasn’t terribly difficult, but it also probably took a bit of time and exploration. Can we do better? Instead of the typical folders & files view, we can create a visual representation of the code. Below, I've visualized the same repository, but instead of a directory structure, each file and folder as a circle: the circle’s color is the type of file, and the circle’s size represents the size
🚀 Visualizing memory management in V8 Engine (JavaScript, NodeJS, Deno, WebAssembly)
This is part of my "Memory Management" series 🚀 Demystifying memory management in modern programming languages🚀 Visualizing memory management in JVM(Java, Kotlin, Scala, Groovy, Clojure)🚀 Visualizing memory management in V8 Engine (JavaScript, NodeJS, Deno, WebAssembly)🚀 Visualizing memory management in Golang🚀 Visualizing memory management in RustAvoiding Memory Leaks in NodeJS: Best Practic
GitHub - serhack/pdf-diff: A tool for visualizing differences between two pdf files.
I use Indesign almost daily, and the pagination and convenient graphical interface make that product number 1 among desktop publishing programs. Indesign, as well as many other graphics programs, have one flaw: because they are not based on any versioning tool, it is difficult to compare two versions of the same file I sometimes have to do some retouching to files I produce. Be they resumes, books
The Illustrated GPT-2 (Visualizing Transformer Language Models)
Jay Alammar Visualizing machine learning one concept at a time. @JayAlammar on Twitter. YouTube Channel This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architectur
Dashboards as code: A new approach to visualizing AWS APIs | Amazon Web Services
AWS Open Source Blog Dashboards as code: A new approach to visualizing AWS APIs You manage your infrastructure with code, why not manage your dashboards the same way? With Steampipe’s dashboards-as-code approach you write HCL to define dashboard widgets, and you write SQL to fill them with data extracted from APIs. Here are some common questions about your AWS resources: How many resources do I ha
The Illustrated GPT-2 (Visualizing Transformer Language Models)
Jay Alammar Visualizing machine learning one concept at a time. @JayAlammar on Twitter. YouTube Channel This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architectur
Ranked: The Top 6 Economies by Share of Global GDP (1980-2024)
Charty - Visualizing your data in Ruby at RubyConf Taiwan 2019
内閣府委託事業の一部として、2019年10月ごろに筆者が実施したリサーチレポートです。一般公開の許可をいただけましたので共有します。何かしらお役に立ちましたら幸いです。 目次 自メディアでのコミュニケーション民間のデザイナーを活用するオープンイノベーション民間サービスガイドライン整備行政が考えるデータビジュアライゼーションの価値データビジュアライゼーションの活用提案
Imagine you are a business leader ready to start your day, but you wake up to find that your daily business report is empty — the data is late, so now you are blind. Over the last year, multiple teams came together to build SLA Tracker, a visual analytics tool to facilitate a culture of data timeliness at Airbnb. This data product enabled us to address and systematize the following challenges of d
GitHub - aws-samples/siem-on-amazon-opensearch-service: A solution for collecting, correlating and visualizing multiple types of logs to help investigate security incidents.
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3Blue1Brown - Visualizing Attention, a Transformer's Heart | Chapter 6, Deep Learning
ThanksSpecial thanks to those below for supporting the original video behind this post, and to current patrons for funding ongoing projects. If you find these lessons valuable, consider joining. .chanceA ZookAaron BinnsAda CohenAdam CedroneAdam Dřínekaeroeng15Alan SteinAlbin EgasseAlex Alex HackmanAlexandru IrimieaAlexis OlsonAli YahyaAljoscha SchulzeAlon AmitAlvin KhaledAman KarunakaranAndrea Di
Jay Alammar – Visualizing machine learning one concept at a time.
Here are eight observations I’ve shared recently on the Cohere blog and videos that go over them.: Article: What’s the big deal with Generative AI? Is it the future or the present? Article: AI is Eating The World Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood
Visualizing and Interacting with a Reconstructed Scene | Apple Developer Documentation
Estimate the shape of the physical environment using a polygonal mesh.
Visualizing Decision Trees with Python (Scikit-learn, Graphviz, Matplotlib)
Image from my Understanding Decision Trees for Classification (Python) Tutorial (blog, video).Decision trees are a popular supervised learning method for a variety of reasons. Benefits of decision trees include that they can be used for both regression and classification, they don’t require feature scaling…
This is part of my "Memory Management" series 🚀 Demystifying memory management in modern programming languages🚀 Visualizing memory management in JVM(Java, Kotlin, Scala, Groovy, Clojure)🚀 Visualizing memory management in V8 Engine (JavaScript, NodeJS, Deno, WebAssembly)🚀 Visualizing memory management in Golang🚀 Visualizing memory management in RustAvoiding Memory Leaks in NodeJS: Best Practic
昨今、社会全体が流体的なものとなりつつあり、新しい消費行動としての「リキッド消費」が普及しています。今までの物質の購入・所有し、消費する「ソリッド消費」に対し、リキッド消費は短期サイクルかつ所有を前提としない消費行動（サブスクリプションなど）を指すものです。本サイトは、生活者にカテゴリごとのリキッド消費傾向を聴取し、結果をビジュアライズ化したものです。 ※PC専用コンテンツです。 Nowadays, as society as a whole becomes ever more fluid, a new type of consumer behavior called liquid consumption is spreading. Compared to solid consumption, which is the conventional purchasing, owning and
マルチアカウントでのIAMユーザー把握と可視化 IAMユーザー棚卸しへの取り組み / Understanding and Visualizing IAM Users with Multiple Accounts
Title マルチアカウントでのIAMユーザー把握と可視化 IAMユーザー棚卸しへの取り組み Speaker 光野 達朗 Tatsuro Mitsuno （CTO室 / 技術開発本部 SRE部 テックリード） 2021/02/09 第二回 AWSマルチアカウント事例祭り https://zozotech-inc.connpass.com/event/200890/ #ama_fes02 https://www.youtube.com/watch?v=LHVifH4P4GM
Visualizing the Most Used Languages on the Internet
The Best U.S. Companies to Work for According to LinkedIn
Visualizing CSS Resets
Visualizing CSS ResetsPublishedAugust 7, 2020 Views…Reading time1 min readThanks Shawn Wang (@swyx) for suggesting red liquid to indicate dev styles. Share on TwitterDiscuss on TwitterFollow @elijahmanorTweet about this post and have it show up here!
The Front Line: Visualizing the Occupations with the Highest COVID-19 Risk
The Front Line: Visualizing the Occupations with the Highest COVID-19 Risk
Which color scale to use when visualizing data - Datawrapper Blog
This is part 1 of a series on “Which color scale to use when visualizing data” (Part 2 / Part 3 / Part 4). If you already have a good understanding of color scales, skip to the end of this article, “It’s not as clear-cut as it seems”. When visualizing data, you’re almost always working with color – e.g., with different hues (red, yellow, blue) for categories or color gradients (light blue, medium
GitHub - Himenon/code-dependency: A work efficiency tool for visualizing code dependencies on a browser.
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Visualizing the Length of the Fine Print, for 14 Popular Apps
Visualizing the Length of the Fine Print, for 14 Popular Apps
Below are the high-level steps (with numbers corresponding to the above diagram) in the order they occur during the CPython release process: Freeze the python/cpython release branch. This is done using GitHub Branch Protections. Update the Release Manager's fork of python/cpython. Run Python release tools (release-tool, blurb, sphinx, etc). Push diffs and signed tag to Release Manager's fork. Git
12匹のデータ・ザウルス | Visualizing.JP
データ可視化の有用性を示すために、 Anscombe’s Quartetが参照されることがよくあります。 Anscombe’s Quartet これは何かというと、要約統計量（平均、標準偏差、相関）が同一のデータセット4つが、実際に散布図として可視化してみると全く異なる姿を描くところから、要約統計量が同一もしくは近似していても、まずは一度は可視化してみるべし、というお話です。 ここで、発想を逆さまにして、要約統計量が小数点２桁まで同一でありながら、散布図化してみると様々な視覚的特徴を描くデータセットを生成するアルゴリズムを考えた人がいます。 その名も The Datasaurus Dozen（12匹のデータ・ザウルス）。恐竜がモチーフになっているのは、Alberto Cairo氏のいたずらのような楽しめる投稿記事に由来します。 どうやっているのか 共通の要約統計量を持つデータセットをゼロベ
NEJM: Visualizing Speech Generated Oral Fluid Droplets with Laser Light Scattering
Included both Original and "Low-speed + HDR-enhanced" videos. Citation: Anfinrud, P., Stadnytskyi, V., Bax, C. E., & Bax, A. (2020). Visualizing Speech-Generated Oral Fluid Droplets with Laser Light Scattering. New England Journal of Medicine, NEJMc2007800. https://doi.org/10.1056/NEJMc2007800 Extract from the paper: "Aerosols and droplets generated during speech have been implicated in the pers
This is part of my "Memory Management" series 🚀 Demystifying memory management in modern programming languages🚀 Visualizing memory management in JVM(Java, Kotlin, Scala, Groovy, Clojure)🚀 Visualizing memory management in V8 Engine (JavaScript, NodeJS, Deno, WebAssembly)🚀 Visualizing memory management in Golang🚀 Visualizing memory management in RustAvoiding Memory Leaks in NodeJS: Best Practic
Visualizing Amazon API Gateway usage plans using Amazon QuickSight | Amazon Web Services
AWS Compute Blog Visualizing Amazon API Gateway usage plans using Amazon QuickSight February 12, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. This post is courtesy of Roberto Iturralde, Solutions Architect. Many customers build applications for their users accessible via HTTP API endpoints. Users provide unique keys in the
Visualizing Packrat Parsing
January 10, 2021 Ohm is an open-source parsing toolkit for JavaScript which Alex Warth and I have been working on since 2014. You can use it to parse custom file formats or quickly build parsers, interpreters, and compilers for programming languages. This article is not about Ohm itself, but about the Ohm visualizer, which I designed and built in 2015 while working on Alex’s team at CDG.1 Later, t
Visualizing big data with AWS AppSync, Amazon Athena, and AWS Amplify | Amazon Web Services
Front-End Web & Mobile Visualizing big data with AWS AppSync, Amazon Athena, and AWS Amplify This article was written by Brice Pelle, Principal Technical Account Manager, AWS Organizations use big data and analytics to extract actionable information from untapped datasets. It can be difficult for you to build an application with access to this trove of data. You want to build great applications qu
どんな図？ ベン図ときくと、たとえばSQLデータベースにおいて、二つのテーブルを結合する際の、結合の仕方について説明した図を思い浮かべる方も多いと思います。 Four different types of JOINs 作者のジョン・ベンにちなんだ名称で、閉曲線（閉じた曲線で作られた閉じた図形）を使って集合理論的な関係を示す図として知られています。 この図に登場するデータセット（テーブル）は二つですが、登場するセットが最大3つまでであれば、これはベン図といえます。それ以上のデータセットにおいては、ベン図といえないかもしれません。 同様のチャートで、レオンハルト・オイラーにちなんだオイラー図というものがあり、オイラー図とベン図の関係を図で示すとこのようになります。 つまり、より一般的なものがオイラー図であり、そのうちある要件を満たすものをベン図と呼びます。その要件とは「集合のすべての交差を示さ
Visualizing Black Holes with General Relativistic Ray Tracing – Sean's Projects
Okay I ended up making this write-up waaaaaay too long, so before I get into any of the jargon, let’s take a look at the finished product: Orbiting around the equator of a supermassive black hole, with an off-axis accretion disk. Orbiting laterally from the equator to the north pole of a slightly less supermassive black hole. Sitting near the accretion disk of a really, really supermassive black h
Detecting and visualizing telecom network outages from tweets with Amazon Comprehend | Amazon Web Services
AWS Machine Learning Blog Detecting and visualizing telecom network outages from tweets with Amazon Comprehend In today’s world, social media has become a place where customers share their experiences with services that they consume. Every telecom provider wants to have the ability to understand their customer pain points as soon as possible and to do this carriers frequently establish a social me
Visual Vocabulary Finantial Times インタラクティブ版Tableau Public版Power BI版Vega版
The PuddingというメディアのJan Diehmさんがデータジャーナリズムの講義（Data Journalism and Visualization with Free Tools）にて、どのようなタイプのデータ・ストーリーが存在するかとして、大きく以下の四つに分類し紹介していました。初見の分類法でしたのでこちらでも紹介します。説明文には筆者（矢崎）独自の観点や補足も付けています。ピックアップされている事例は元の講義に準じます。 Scrollytelling(スクローリーテリング)Microstories (マイクロストーリーズ)Non-traditional (非伝統的)Explainers (説明者) Scrollytelling(スクローリーテリング) 閲覧者がページを下にスクロールすると、アニメーションとともにストーリーが直線的に展開する手法。閲覧者はただスクロールするだけ
人類学者のBrent BerlinとPaul Kayさんの研究成果 (Basic Color Terms: Their Universality and Evolution. 1969) として、 「多様な文化を持つ世界の100以上の言語において、色の名称の発明順序がほぼ一緒」 であったとしています。 1, 2番め：白と黒3番め：赤4, 5番め：緑と黄、もしくは、黄と緑6番め：青7番め：茶8-11番め：ピンク、紫、オレンジ、グレイ 原語では以下のとおりです。 Stage I: Dark-cool and light-warm (this covers a larger set of colors than English “black” and “white”.)Stage II: RedStage III: Either green or yellowStage IV: Both gre
Visualizing Git
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GitHub Next | Visualizing a Codebase
Visualizing the History of Pandemics
Charty - Visualizing your data in Ruby
世界の行政機関 情報可視化 事例 | Visualizing.JP
Visualizing Data Timeliness at Airbnb
🚀 Visualizing memory management in Golang
VISUALIZING LIQUID CONSUMPTION DATA | INTAGE Inc.
Visualizing the CPython Release Process
🚀 Visualizing memory management in Rust
オイラー図とベン図（Euler Diagram & Venn Diagram） | Visualizing.JP
Visual Vocabulary | Visualizing.JP
データ・ジャーナリズムにおけるデータ・ストーリー 四類型 | Visualizing.JP
多様な文化を持つ世界100以上の言語において、色名の発明順序がほぼ一緒 | Visualizing.JP
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