Ian Johnson enjalot

node duckdb.cjs mydata.csv

will create the file mydata.parquet with GZIP compression.

	import os
	import json
	import time
	import asyncio
	import subprocess

	from modal import App, Image, Secret, Volume, build, enter, exit, gpu, method

	# We first set out configuration variables for our script.
	## Embedding Containers Configuration

	print("importing")
	from flask import Flask, request
	from flask_cors import CORS
	import json

	import torch
	import torch.nn as nn
	import pandas as pd
	import numpy as np

	let fs = require("fs")
	let {exec} = require("child_process")

	// read package.json
	let packageText = fs.readFileSync("./d3/package.json").toString()
	let packageJson = JSON.parse(packageText)
	// loop through dependencies
	let depends = Object.keys(packageJson.dependencies)
	console.log("dependencies", depends)
	// clone each repo

	const { load } = require("@alex.garcia/observable-prerender");
	const puppeteer = require("puppeteer");

	async function main() {
	let mapWidth = 1920
	let mapHeight = 1080
	// let startDate = "20200301"

	let startDate = "20200420"