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@paulirish
paulirish / how-to-view-source-of-chrome-extension.md
Last active May 15, 2024 20:30
How to view-source of a Chrome extension

Option 1: Command-line download extension as zip and extract

extension_id=jifpbeccnghkjeaalbbjmodiffmgedin   # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc" 
unzip -d "$extension_id-source" "$extension_id.zip"

Thx to crxviewer for the magic download URL.

@pixeltrix
pixeltrix / time_vs_datatime.md
Last active February 18, 2024 19:20
When should you use DateTime and when should you use Time?

When should you use DateTime and when should you use Time?

It's a common misconception that [William Shakespeare][1] and [Miguel de Cervantes][2] died on the same day in history - so much so that UNESCO named April 23 as [World Book Day because of this fact][3]. However because England hadn't yet adopted [Gregorian Calendar Reform][4] (and wouldn't until [1752][5]) their deaths are actually 10 days apart. Since Ruby's Time class implements a [proleptic Gregorian calendar][6] and has no concept of calendar reform then there's no way to express this. This is where DateTime steps in:

>> shakespeare = DateTime.iso8601('1616-04-23', Date::ENGLAND)
=> Tue, 23 Apr 1616 00:00:00 +0000
>> cervantes = DateTime.iso8601('1616-04-23', Date::ITALY)
=> Sat, 23 Apr 1616 00:00:00 +0000
@madzhuga
madzhuga / Gemfile
Created April 5, 2015 18:25
Minimal Rails 4.2 application
source 'https://rubygems.org'
gem 'thin'
gem 'rails', '4.2.0'
gem 'sqlite3'
gem 'sass-rails', '~> 5.0'
gem 'uglifier', '>= 1.3.0'
gem 'coffee-rails', '~> 4.1.0'
gem 'jquery-rails'
gem 'turbolinks'
@peterjmag
peterjmag / react-native-talk.md
Last active June 21, 2021 10:13
Let's build a React Native app in 20 minutes - React Berlin #1 (April 2015)
@MichaelDrogalis
MichaelDrogalis / gist:bc620a7617396704125b
Last active May 22, 2018 14:26
The Anatomy of an Onyx Program

The Anatomy of an Onyx Program

In this tutorial, we'll take an in-depth view of what's happening when you execute a simple Onyx program. All of the code can be found in the Onyx Starter repository if you'd like to follow along. The code uses the development environment with HornetQ and ZooKeeper running in memory, so you don't need additional dependencies to run the example for yourself on your machine.

The Workflow

At the core of the program is the workflow - the flow of data that we ingest, apply transformations to, and send to an output for storage. In this program, we're going to ingest some sentences from an input source, split the sentence into individual words, play with capitalization, and add a suffix. Finally, we'll send the transformed data to an output source.

Let's examine the workflow pictorially:

@staltz
staltz / introrx.md
Last active May 18, 2024 05:17
The introduction to Reactive Programming you've been missing
@DanHerbert
DanHerbert / fix-homebrew-npm.md
Last active February 12, 2024 17:18
Instructions on how to fix npm if you've installed Node through Homebrew on Mac OS X or Linuxbrew

OBSOLETE

This entire guide is based on an old version of Homebrew/Node and no longer applies. It was only ever intended to fix a specific error message which has since been fixed. I've kept it here for historical purposes, but it should no longer be used. Homebrew maintainers have fixed things and the options mentioned don't exist and won't work.

I still believe it is better to manually install npm separately since having a generic package manager maintain another package manager is a bad idea, but the instructions below don't explain how to do that.

Fixing npm On Mac OS X for Homebrew Users

Installing node through Homebrew can cause problems with npm for globally installed packages. To fix it quickly, use the solution below. An explanation is also included at the end of this document.

@debasishg
debasishg / gist:8172796
Last active May 10, 2024 13:37
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. 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.
  2. Models and Issues in Data Stream Systems
  3. 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
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@flomotlik
flomotlik / Gemfile
Last active April 6, 2021 13:17
Puma on Heroku
gem 'foreman'
gem 'puma'
@widged
widged / d3lib.md
Created October 4, 2013 03:29
d3 libraries

chartFactory

/affini-tech/ChartFactory

Based on D3.JS and Dimple, ChartFactory provide the ability to build quickly D3.JS charts without coding any lines of javascript. Just define your dashboard in a JSON and voila !

charts: [
        {id:'chart1',
         width:800,height:250,

xAxis:{type:'Category',field: "Month",orderRule:'Date'},