OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

jroakes

Machine Learning Repository for SEO

SEO is a field that is rich with data, yet many young SEOs may not be equipped to learn tools that will prepare them for the future. We want to support our community by using our expertise to provide access to more advanced tools that will allow SEOs of all levels to play with the technologies that will shape the future of our work.

Objectives

• Provide a repositiory that makes it possible to learn about ML specifically targeted to those interested in SEO
• Provide a repository that allows a novice user to run a simple model on something meaningful for SEO.
• Provide a repository that allows advanced users to save time on data getting, cleaning, preprocessing, and model selection.
• Allow users to showcase work and models developed.
• Have users get involved with the future development of the repo.

MarkEdmondson1234

library(googleAnalyticsR)
library(xml2)
library(dplyr)

ga_auth()

## date range of URLs to test
dates <- c(Sys.Date() - 30, Sys.Date())

##GA View ID

nealrs

#!/usr/bin/env python
# encoding: utf-8
# 2014 - Neal Shyam [@nealrs | nealshyam.com]
# usage: $python checkrap.py first_name last_name domain_name
# e.g:   $python checkrap.py john doe gmail.com 
#
#
# PLEASE DON'T BE A DICK OR USE THIS FOR EVIL.
# Seriously, the internet is a nice place, let's keep it that way.