Tiago Santos tmsss

## Update caniuse
npm update --depth 10 caniuse-lite browserslist

## .block
height: 950
border: no

## d3_wrap_text.js
// from https://stackoverflow.com/questions/24784302/wrapping-text-in-d3?lq=1
var wrap = function(text, width) {
  text.each(function() {
    var text = d3.select(this),
      words = text
        .text()
        .split(/\s+/)
        .reverse(),
      word,
      line = [],

## send_email.js
function sendFormByEmail(e)
{
  // Remember to replace this email address with your own email address
  var email = "email@domain.##";

  var s = SpreadsheetApp.getActiveSheet();
  var headers = s.getRange(1,1,1,s.getLastColumn()).getValues()[0];
  var htmlBody = '';
  var name = e.namedValues[headers[1]].toString();
  var replyTo = e.namedValues[headers[2]].toString();

## pandas_matrix.py
import numpy as np
# Assume that we have a dataframe df which is an adjacency matrix

def find_edges(df):
    """Finds the edges in the square adjacency matrix, using
    vectorized operations. Returns a list of pairs of tuples
    that represent the edges."""

    values = df.values  # Adjacency matrix of 0's and 1's
    n_rows, n_columns = values.shape

## page.tpl.php
<?php echo views_embed_view('view-machine-name', $display_id = 'view-id'); ?>

## delete node revisions.mysql
DELETE FROM `node_revisions` WHERE node_revisions.vid NOT IN (SELECT node.vid FROM `node` );

## drop_caps.css
p:first-letter{
        display:block;
        margin:5px 0 0 5px;
        float:left;
        color:#FF3366;
        font-size:60px;
        font-family:Georgia;
    }

## box-sizing-prefixes.css
html {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}

## Include a custom menu.php
<?php
 $menu = menu_navigation_links('menu-your-custom-menu-name');
 print theme('links__menu_your_custom_menu_name', array('links' => $menu));
?>
	// from https://stackoverflow.com/questions/24784302/wrapping-text-in-d3?lq=1
	var wrap = function(text, width) {
	text.each(function() {
	var text = d3.select(this),
	words = text
	.text()
	.split(/\s+/)
	.reverse(),
	word,
	line = [],
	function sendFormByEmail(e)
	{
	// Remember to replace this email address with your own email address
	var email = "email@domain.##";

	var s = SpreadsheetApp.getActiveSheet();
	var headers = s.getRange(1,1,1,s.getLastColumn()).getValues()[0];
	var htmlBody = '';
	var name = e.namedValues[headers[1]].toString();
	var replyTo = e.namedValues[headers[2]].toString();
	import numpy as np
	# Assume that we have a dataframe df which is an adjacency matrix

	def find_edges(df):
	"""Finds the edges in the square adjacency matrix, using
	vectorized operations. Returns a list of pairs of tuples
	that represent the edges."""

	values = df.values # Adjacency matrix of 0's and 1's
	n_rows, n_columns = values.shape
	p:first-letter{
	display:block;
	margin:5px 0 0 5px;
	float:left;
	color:#FF3366;
	font-size:60px;
	font-family:Georgia;
	}
	html {
	-webkit-box-sizing: border-box;
	-moz-box-sizing: border-box;
	box-sizing: border-box;
	}