amqdn

necolas

import createHoverMonitor from './createHoverMonitor';
import { element, func, oneOfType } from 'prop-types';
import React, { Component } from 'react';

const hover = createHoverMonitor();

/**
 * Use:
 * <Hoverable>
 *   {(hover) => <View style={hover && styles.hovered} />}

newswim

import { Link } from 'react-router-dom'
import { Badge, Col, Menu } from 'antd'

const StyledBadge = styled(Badge)`
    .ant-badge-count {
        background-color: #7ECBBF;
        color: white;
        box-shadow: 0 0 0 1px #d9d9d9 inset;
    }
`

darencard

Please see the most up-to-date version of this protocol on my blog at https://darencard.net/blog/.

Automatically push an updated file whenever it is changed

Linux

1. Make sure inotify-tools is installed (https://github.com/rvoicilas/inotify-tools)
2. Configure git as usual
3. Clone the git repository of interest from github and, if necessary, add file you want to monitor
4. Allow username/password to be cached so you aren't asked everytime

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

OlegIlyenko

In this gist I would like to describe an idea for GraphQL subscriptions. It was inspired by conversations about subscriptions in the GraphQL slack channel and different GH issues, like #89 and #411.

Conceptual Model

At the moment GraphQL allows 2 types of queries:

• query
• mutation

Reference implementation also adds the third type: subscription. It does not have any semantics yet, so here I would like to propose one possible semantics interpretation and the reasoning behind it.

bluesmoon

Marsaglia-polar.js

This script generates random numbers along a Normal or Log-normal distribution using the Marsaglia polar method.

There are four functions you can use:

• normalRandom: Generate random numbers that follow a Normal distribution.
• normalRandomInRange: Generate random numbers that follow a Normal distribution but are clipped to fit within a range
• normalRandomScaled: Generate random numbers that follow a Normal distribution with a given mean and standard deviation
• lnRandomScaled: Generate random numbers that follow a Log-normal distribution with a given geometric mean and geometric standard deviation

luke

import logging
import cStringIO
import csv

DEBUG = False

def data2csv(data):
    si = cStringIO.StringIO()
    cw = csv.writer(si, delimiter='\t',lineterminator="\n")
    for row in data: