lynsei

SELECT
  json_build_object(
    'aggregate',
    json_build_object('count', COUNT(*)),
    'nodes',
    coalesce(json_agg("nodes"), '[]')
  ) AS "root"
FROM
  (
    SELECT

lynsei

import * as THREE from "https://cdn.skypack.dev/[email protected]";
import { OrbitControls } from "https://cdn.skypack.dev/three/examples/jsm/controls/OrbitControls";
import * as dat from "https://cdn.skypack.dev/[email protected]";

const gui = new dat.GUI();

const settings = {
  speed: 0.32,
  density: 2.5,
  strength: 0.06,

lynsei

<!--
  Forked from:
  https://quasar.dev/vue-components/table#Example--Visible-columns%2C-custom-top-and-fullscreen
-->
<div id="q-app">
  <div class="q-pa-md">
    <q-table
      title="Treats"
      :data="data"
      :columns="columns"

lynsei

I learned that despite being open source, most folk do not seem to understand what it is the Full Stack Engine does.  Including investors, this is my greatest challenge.

So I set out upon the quest to show this with action rather than talk. What does Full Stack Engine do? "We build businesses from scratch".

Much like the Ouroboros , the snake that eats itself, I've begun to consume my own services as part of my quest to show how powerful FSE can be for a company.

Here is a case study for my new business, emer-gency.com.

lynsei

Tabs and Windows

Function	Shortcut
New Tab	⌘ + T
Close Tab or Window	⌘ + W (same as many mac apps)
Go to Tab	⌘ + Number Key (ie: ⌘2 is 2nd tab)
Go to Split Pane by Direction	⌘ + Option + Arrow Key
Cycle iTerm Windows	⌘ + backtick (true of all mac apps and works with desktops/mission control)

lynsei

# Obtained with the code written in next file
emoji_grinning_face=😀
emoji_grinning_face_with_big_eyes=😃
emoji_grinning_face_with_smiling_eyes=😄
emoji_beaming_face_with_smiling_eyes=😁
emoji_grinning_squinting_face=😆
emoji_grinning_face_with_sweat=😅
emoji_rolling_on_the_floor_laughing=🤣
emoji_face_with_tears_of_joy=😂
emoji_slightly_smiling_face=🙂

lynsei

import os
import pickle
import warnings

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout

lynsei

sudo apt-get install zlib1g-dev
sudo apt-get install g++
sudo apt-get install uuid-dev

export VENV=$VIRTUAL_ENV
mkdir $VENV/packages && cd $VENV/packages

curl -O http://oligarchy.co.uk/xapian/1.2.18/xapian-core-1.2.18.tar.xz
curl -O http://oligarchy.co.uk/xapian/1.2.18/xapian-bindings-1.2.18.tar.xz

lynsei

#!/usr/bin/env bash
/deprecated.zsh

# This is for dogi, but we aren't using him right now till I can fix his permissions in dockerland
function load_ssh_proxy_engine() {
  yes | cp -f $ZSH_CUSTOM/src/lib/dogi/.dogi.sh /usr/local/bin/dogi
  chmod +x /usr/local/bin/dogi
  #note: this will only work on linux, but that's where this is gonna run (ubuntu docker minimal at 30MB)
  adduser --disabled-password --shell /bin/bash dogi
  addgroup docker || true

lynsei

#!/bin/sh

VERSION="0.3.0"

HELP="
dogi

A simple way to deploy your pet projects using Docker, Git, Traefik and SSH.

dogi create  # Create a new application