martinwicke

pawelztef

<div class="container">
  <% flash.each do |type, msg| %>
    <div class="alert <%= bootstrap_class_for_flash(type) %> alert-dismissable fade show">
      <%= msg %>
      <button class="close" data-dismiss="alert">x</button>
    </div>
  <% end %> 
</div>

chourobin

Bridging Native & React for iOS & Android

js -> native

• Simple Example
• Callbacks
• Promises
• Properties

native -> js

yossorion

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

ebachter

import React from 'react';
import { connect } from 'react-redux';

class PageWidget extends React.Component {
  componentDidMount() {
    this.ifr.onload = () => {
      this.ifr.contentWindow.postMessage('hello', '*');
    };
    window.addEventListener("message", this.handleFrameTasks);
  }

wvance

import React, {PropTypes} from 'react'
import { Router, Route, Link } from 'react-router'
import {connect} from 'react-redux';
import {bindActionCreators} from 'redux';
import * as commonActions from '../actions/commonActions';

// https://github.com/okonet/react-dropzone
import Dropzone from 'react-dropzone';

// REMOVES DEFAULT STYLE FROM DROPZONE

jacobp100

const fetch = (url, params) => ({
  type: 'FETCH',
  url,
  params,
});

const fetchMiddleware = fetchImplementation => store => next => action => {
  if (action.type === 'FETCH') {
    const { url, params } = action;
    const token = store.getState().token;

handleman

// --------------- Overrides to get rounded corner is bar charts ------------------
c3.chart.internal.fn.additionalConfig = {
    bar_radiusAll: false,
    bar_radius: 5,
    tooltip_format_color: undefined

};

c3.chart.internal.fn.isOrderDesc = function () {
    var config = this.config;

cyk

Face Sentiments with Google Vision API via AWS API Gateway and Lambda

My notes (and rudimentary guide) from a research spike that delved into the Google Vision API, AWS API Gateway and Lambda, prototyping a "serverless" API endpoint that returns sentiments expressed by faces in an image.

Introduction

Google's been rockin' their cloud offerings hard lately. Among their latest releases is the Cloud Vision API (in beta), a service that analyzes the content of an image; detecting things like words, phrases, objects, faces and their emotions. Let's prototype a "serverless" face sentiments endpoint using only the Vision API, AWS API Gateway and a Lambda function.

A quick note on Cloud Vision API pricing. As of this writing, the free tier for face detection is <1000/mo. This app can easily exceed this limit. To give you an idea of this, so far I've used 1103 face detection operations

wassname

/**
 * Lodash mixins for combinatorics
 * by: wassname & visangela 
 * url: https://gist.github.com/wassname/a882ac3981c8e18d2556/edit
 * lodash contrib issue: https://github.com/node4good/lodash-contrib/issues/47
 * lic: same as lodash
 * Inspired by python itertools: https://docs.python.org/2.7/library/itertools.html
 *
 * Usage:
 *   permutations([0,1,2],2)                 // [[0,1],[0,2],[1,0],[1,2],[2,0],[2,1]]