kepano

javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{
    default: Turndown
}, {
    default: Readability
}]) => {

  /* Optional vault name */
  const vault = "";

  /* Optional folder name such as "Clippings/" */

TheWebDevel

# Add RVM to PATH for scripting. Make sure this is the last PATH variable change.
export PATH="$PATH:$HOME/.rvm/bin"

# Load Nerd Fonts with Powerlevel9k theme for Zsh
POWERLEVEL9K_MODE='nerdfont-complete'
source ~/powerlevel9k/powerlevel9k.zsh-theme
# Customise the Powerlevel9k prompts
POWERLEVEL9K_LEFT_PROMPT_ELEMENTS=(ssh dir vcs newline status)
POWERLEVEL9K_RIGHT_PROMPT_ELEMENTS=()

swaathi

#! /bin/bash
if [[ $1 == 'me' ]]; then
  cat "$(which show)"
elif [[ $1 == 'loc' ]]; then
  echo `which show`
elif [[ $1 == 'install' ]]; then
  echo "Ensure to place this file in `usr/local/bin` and read instructions on https://gist.github.com/swaathi/8c18be3a437e498034a5a3ede54d0ce9/."
  brew install fortune
  brew install cowsay
  brew install lolcat

rondy

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

rauchg

require-from-twitter

Since Twitter doesn't have an edit button, it's a suitable host for JavaScript modules.

How to use

Source tweet: https://twitter.com/rauchg/status/712799807073419264

const leftPad = await requireFromTwitter('712799807073419264');

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

imkarthikk

server {
listen 80 default_server;
server_name 192.168.10.69;
 location /monit/ {
    allow 127.0.0.1;
    allow 192.0.0.0/8;
    deny all;

    proxy_pass http://127.0.0.1:2812;
    proxy_set_header Host $host;

voter101

'use strict'

var gulp, sass, babelify, browserify, watchify, source, util;

gulp       = require('gulp');
sass       = require('gulp-sass');
babelify   = require('babelify')
browserify = require('browserify');
watchify   = require('watchify');
source     = require('vinyl-source-stream');

ponchik

#!/bin/bash

SCRIPT='cd /web/vcms/; bundle exec sidekiq'
RUNAS=dimon
NAME=vcms-sidekiq

PIDFILE=/web/vcms/tmp/pids/sidekiq.pid
LOGFILE=/web/vcms/log/sidekiq.log

start() {

rgaidot

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