jwalgran

// Adapted from https://devscope.io/code/aws-samples/amazon-cloudfront-functions/issues/11

function objectToQueryString(obj) {
    var str = [];
    for (var param in obj)
        if (obj[param].value === '') {
            str.push(encodeURIComponent(param));
        } else {
            // Normalize single and multiple value query params to a list of
            // param value objects

jwalgran

Implementing the ST_AsMVT based tiler for the Open Apparel Registry

ST_AsMVT and ST_AsMVTGeom

https://postgis.net/docs/ST_AsMVT.html https://postgis.net/docs/ST_AsMVTGeom.html

Animation showing how the process works https://info.crunchydata.com/hs-fs/hubfs/unnamed.gif

Available on RDS Postgres as of the 10.5 release which includes the required libprotobuf-c

jwalgran

> python oar_dedupe_example.py
importing data ...
starting active labeling...
country : cn
name : jiangsu best fashion dress co. ltd
address : no 88 huanxi road, zhutang town, jiangsu

country : cn
name : jiangsu best fashion dress co ltd
address : no88 round west road zhutang town jiangyin city jiangsu

jwalgran

grep FaceURL ~/Library/Tabletop Simulator/Mods/Workshop/1467894341.json | cut -d "\"" -f 4 | sort | uniq

jwalgran

jwalgran

Delete exited containers

 docker container rm $(docker ps --filter "status=exited" | awk '{print $1}' | tail -n +2)

Delete untagged images

docker rmi $(docker images | grep "^" | awk '{print $3}')

jwalgran

Basic libraries

That's enough, Linus.

Basic libraries and data structures

Goal: Reduce CPU and memory

Data structure choice can have a big impact on resource usage.

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Chapter 19 - Applying structure

19.1 Applied structure

A big change of pace from previous chapters. A guided safari through a jungle of real projects.

19.2 Monoid

Templating content in Scotty

jwalgran

module Ch11 where

import Data.Char

data GuessWhat =
  Chickenbutt deriving (Eq, Show)

data Id a =
  MkId a deriving (Eq, Show)

jwalgran

// 1. Browse a waffle.io board where "Queue" and "In Progres" are the 2nd and 3rd columns.
// 2. Run this code in the developer console.
// 3. Copy the tab-separated data and paste into your spreadsheet of choice.

// Thanks to https://github.com/rajadain for the initial implementation

var rows = [];
$('#page > div > div.ng-scope > div > ui-view > div > div.board.js-board > span.ng-scope > div.board-body > div > div:nth-child(3) .card,#page > div > div.ng-scope > div > ui-view > div > div.board.js-board > span.ng-scope > div.board-body > div > div:nth-child(4) .card').each(function() {
    var card = $(this),
        url = card.attr('data-waffle-url').replace('api.github.com/repos', 'github.com'),