The Illustrated TLS Connection: Every Byte Explained
The session begins with the client saying "Hello". The client provides the following: protocol version client random data (used later in the handshake) an optional session id to resume a list of cipher suites a list of compression methods a list of extensions TLS sessions are broken into the sending and receiving of "records", which are blocks of data with a type, a protocol version, and a length.
Data Structure Visualization
Currently, we have visualizations for the following data structures and algorithms: Basics Stack: Array Implementation Stack: Linked List Implementation Queues: Array Implementation Queues: Linked List Implementation Lists: Array Implementation (available in java version) Lists: Linked List Implementation (available in java version) Recursion Factorial Reversing a String N-Queens Problem Indexing
Dash Enterprise: The Premier Data App Platform for Python
Dash apps give a point-&-click interface to models written in Python, vastly expanding the notion of what's possible in a traditional "dashboard." With Dash apps, data scientists and engineers put complex Python analytics in the hands of business decision-makers and operators. When building Dash apps in a business setting, you'll need Dash Enterprise to deploy and scale them, plus integrate them w
Pixela | Pixelation API Service
Record and Track your habits or effort. All by API. Pixela is the API service. With this service, you can get a GitHub like graph that expresses the degree of your daily various activities on a basis with a vivid gradation. All operations are performed by API. And, it's free. Pixela Sponsors Pixela provides almost all the features for free, but some features are only available to those who pay for
Redash の次にくるのは superset!! - Airbnb 謹製の BI ツールが OSS で - Witch on the Other Shore
Redash (re:dash) 流行ってますね。 redash.io 最近 Github をにわかに賑わせている OSS が superset です。 github.com superset とは 公式説明によると data exploration platform とのことですが、僕の感覚的にはこれはつまり、いわゆる Business Intelligence (以下 BI) Tool です。そう、Tableau のような。 OSS (Apache 2.0) サーバーサイドは Python で書かれている Flask や pandas、SQLAlchemy などを利用 さまざまなデータソースに対応 (MySQL, Redshift、SparkSQL など) グラフ描画の種類が豊富 Role や Permission についてある程度細かく設定可能 Airbnb Engineering
pythonで美しいグラフ描画 -seabornを使えばデータ分析と可視化が捗る その1 - Qiita
Pythonでのグラフ描画 Pythonチャートを描く場合の定番は「matplotlib」ですが、その見た目のやや野暮ったい感じと、表記法のややこしさが指摘されています。 そこで、この記事ではMatplotlibの機能をより美しく、またより簡単に実現するためのラッパー的存在である、「Seaborn」の使い方を取り上げます。 ◆ Overview of Python Visualization Tools http://pbpython.com/visualization-tools-1.html 上記の記事ではMatplotlibとSeabornについて下記のように書かれています。 matplotlibについて Matplotlib is the grandfather of python visualization packages. It is extremely powerful b
Superconductor: Big Data Visualization for the Web
Superconductor is a web framework for creating data visualizations that scale to real-time interactions with up to 1,000,000 data points. It compiles to WebCL, WebGL, and web workers to unleash the power of parallel hardware for fast and cross-platform data visualization. Learn more » Caution Superconductor is currently available as a developer preview. We want to give you an early look at what we
可視化周辺の進化がヤヴァイ～rChartsを中心として～
25. その他：R+javascriptで可視化 • clickme(インタラクティブに触れる部分多し） – https://github.com/nachocab/clickme • rVega – https://github.com/metagraf/rVega • G3Plot(d3.js + shinyのパッケージ) – https://github.com/alexbbrown/g3plot-1 – http://glimmer.rstudio.com/alexbbrown/g3plot/ • rNVD3(rChartsに同機能あり、開発停止) – https://github.com/ramnathv/rNVD3 • rHighcharts（rChartsに同機能あり、開発停止？） – https://github.com/metagraf/rHighcharts 25
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Stanford CS course on data visualization techniques (Winter 2020)
Diagrams · Diagram as Code
Seeing Theory
Raft:Understandable Distributed Consensus