yammik

import os
import subprocess

path = raw_input("path : ") + "/"
for filename in os.listdir(path):
	if (filename.endswith('.tif')):
		print(filename)
		cmd = "/usr/local/bin/convert -quiet -scene 1 " + path + filename + " " + path + filename + "-%d.tif"
		subprocess.call(cmd, shell=True)

yammik

function perm(str) {
    const results = [];
    if (str.length === 1) return str;
    
    for (let i = 0; i < str.length; i++) {
        const currentChar = str[i];
        const remainingChars = str.slice(0, i) + str.slice(i+1);
        const innerPermutations = perm(remainingChars);
        for (let j = 0; j < innerPermutations.length; j++) {
            results.push(currentChar + innerPermutations[j]);

yammik

function excise(str, index) { // helper function to remove char from substr
    return str.slice(0, index) + str.slice(index+1);
}

function compare(template, x) { // compares two str of equal length
    if (template.length !== x.length) return false;
    if (template === x) {
        return true;
    } else if (template.length === 1) {

yammik

div {
 border: 2px solid red; 
}

yammik

Chosen approach

AWS Glue

AWS Glue is a serverless ETL service for data analysis:

With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Also, you can immediately search and query cataloged data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

Since our nonpartitioned data are already in S3, we can set up Glue to read directly from the bucket with a predefined schema.

We can use AWS Glue to repartition: