imthenachoman

Developing a GAS Powered Google Workspace Add-on And Launching It To The Marketplace

This guide will walk you through creating a public Google Workspace Add-on, and launching it in the Google Workspace Marketplace for as free as possible.

This guide was written as I developed and launched my first add-on: Nacho Auto Vacation for Gmail™.

Table of Contents

• About
• Before You Start

CGamesPlay

tamsininnit

// Add ChatGPT Menu

const onOpen = () => {
const ui = SpreadsheetApp.getUi();
ui.createMenu("ChatGPT")
  .addItem("💾 Save Responses as Text", "saveAsText")
  .addItem("ChatGPT API Sheet by Sarah Tamsin 💜", "openUrl")
  .addToUi();
};

nateraw

nateraw

eyeseast

I have an updated version of this on my blog here: https://chrisamico.com/blog/2023-01-14/python-setup/.

Python

This is my recommended Python setup, as of Fall 2022. The Python landscape can be a confusing mess of overlapping tools that sometimes don't work well together. This is an effort to standardize our approach and environments.

Tools and helpful links:

• Python docs: https://docs.python.org/3/
• Python Standard Library:  - Start here when you're trying to solve a specific problem

Overemployed

#!/bin/bash

# Check if script is running as root
if [ "$EUID" -ne 0 ]
  then echo "Please run as root"
  exit
fi

# your personal machine running jacktrip
REMOTE_JACK_SERVER=nat.local

Overemployed

const pathParser = require("path");
const { MODEL_PATH, HOME, YOUR_NAME, FILE_GLOB } = process.env;
console.log(MODEL_PATH, HOME, YOUR_NAME, FILE_GLOB);
const chokidar = require('chokidar');
const vosk = require('vosk');
const wav = require("wav");
const { Readable } = require("stream");
const { notify } = require('node-notifier');
const TailingReadableStream = require('tailing-stream');
const recordingsDir = `${HOME}/recordings/`

duncangh

import requests
import pandas as pd
import plotly.graph_objects as go

import pandas as pd
from datetime import datetime

api_key = 'your api key from financialmodelingprep'

dutc

from pandas import read_csv

s = read_csv('data.txt', squeeze=True, header=None)
print(
    (s.diff() > 0).sum(),
)