const float PI = 3.1415926535897932384626433832795;
const float PI_2 = 1.57079632679489661923;
const float PI_4 = 0.785398163397448309616;
float PHI = (1.0+sqrtf(5.0))/2.0;
license: gpl-3.0 | |
redirect: https://observablehq.com/@d3/margin-convention |
license: gpl-3.0 |
# Install ARCH Linux with encrypted file-system and UEFI | |
# The official installation guide (https://wiki.archlinux.org/index.php/Installation_Guide) contains a more verbose description. | |
# Download the archiso image from https://www.archlinux.org/ | |
# Copy to a usb-drive | |
dd if=archlinux.img of=/dev/sdX bs=16M && sync # on linux | |
# Boot from the usb. If the usb fails to boot, make sure that secure boot is disabled in the BIOS configuration. | |
# Set swedish keymap |
// e.g. console.save({hello: 'world'}) | |
(function(console){ | |
console.save = function(data, filename){ | |
if(!data) { | |
console.error('Console.save: No data') | |
return; | |
} | |
if(!filename) filename = 'console.json' | |
if(typeof data === "object"){ | |
data = JSON.stringify(data, undefined, 4) |
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "your_email@youremail.com"
A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.
Name | Stars | Last Commit | Description |
---|---|---|---|
three.js | ![GitHub |
All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.
Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.
elem.offsetLeft
,elem.offsetTop
,elem.offsetWidth
,elem.offsetHeight
,elem.offsetParent
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.