Skip to content

Instantly share code, notes, and snippets.

@n0531m
n0531m / date_range.sql
Last active November 21, 2025 09:49
BigQuery : Generate range of dates
SELECT day
FROM UNNEST(
GENERATE_DATE_ARRAY(DATE('2020-01-01'), DATE('2020-01-31'), INTERVAL 1 DAY)
) as day
@benahm
benahm / deployDestructiveChange.sh
Last active February 15, 2024 18:45
Deploy a destructive change using the Salesforce CLI
#!/bin/sh
#
# author : benahm
# description : deploy a destructive change
# inputs
TARGET_ENV=$1
SOURCE_PATH=$2
# constants
@scottmcclung
scottmcclung / TestUtility.cls
Created November 20, 2017 15:41
Apex method to generate fake record ids in tests.
/**
* Apex method to generate fake record ids in tests
* Created by Stephen Willcock
* https://foobarforce.com/2013/08/15/apex-method-of-the-day-string-repeat/
*/
public class TestUtility
{
static Integer s_num = 1;
public static String getFakeId(Schema.SObjectType sot)
@katylava
katylava / importS3Csv.gs
Last active August 7, 2023 14:37
Google Apps Script to import a CSV, stored securely on S3, to a Google Spreadsheet
var AWS_KEY = '<your key>';
var AWS_SECRET = '<your secret>';
function generateS3Url(bucket, path) {
var expiresDt = Math.floor(Date.now() / 1000) + (60 * 60 * 24); // can be up to 7 days from now
var stringToSign = 'GET\n\n\n' + expiresDt + '\n/' + bucket + '/' + encodeURIComponent(path);
var hmac = Utilities.computeHmacSignature(Utilities.MacAlgorithm.HMAC_SHA_1, stringToSign, AWS_SECRET, Utilities.Charset.UTF_8);
var signed = encodeURIComponent(Utilities.base64Encode(hmac));
@leonardofed
leonardofed / README.md
Last active December 2, 2025 13:22
A curated list of AWS resources to prepare for the AWS Certifications


A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.


@lmarkus
lmarkus / README.MD
Last active November 27, 2025 15:56
Extracting / Exporting custom emoji from Slack

Extracting Emoji From Slack!

Slack doesn't provide an easy way to extract custom emoji from a team. (Especially teams with thousands of custom emoji) This Gist walks you through a relatively simple approach to get your emoji out.

If you're an admin of your own team, you can get the list of emoji directly using this API: https://api.slack.com/methods/emoji.list. Once you have it, skip to Step 3

HOWEVER! This gist is intended for people who don't have admin access, nor access tokens for using that list.

Follow along...

@mlapida
mlapida / EC2-Stopped-Tagged-Lambda.py
Last active May 29, 2024 06:00
Using a lambda function, stop all instances that are tagged appropriately.
import boto3
import logging
#setup simple logging for INFO
logger = logging.getLogger()
logger.setLevel(logging.INFO)
#define the connection
ec2 = boto3.resource('ec2')
@spudbean
spudbean / gist:1558257
Last active December 8, 2025 19:59
Look of disapproval and other emoticons
ಠ_ಠ
( ͡° ͜ʖ ͡°)
¯\_(ツ)_/¯
(╯°□°)╯︵ ┻━┻
http://www.fileformat.info/convert/text/upside-down.htm
WRTTN http://wrttn.me/30dbfd/
Unicode Emoticons
@mathiasbynens
mathiasbynens / appify
Created November 12, 2010 13:46 — forked from subtleGradient/appify
appify — create the simplest possible Mac app from a shell script
#!/bin/bash
if [ "$1" = "-h" -o "$1" = "--help" -o -z "$1" ]; then cat <<EOF
appify v3.0.1 for Mac OS X - http://mths.be/appify
Creates the simplest possible Mac app from a shell script.
Appify takes a shell script as its first argument:
`basename "$0"` my-script.sh
@onyxfish
onyxfish / example1.py
Created March 5, 2010 16:51
Basic example of using NLTK for name entity extraction.
import nltk
with open('sample.txt', 'r') as f:
sample = f.read()
sentences = nltk.sent_tokenize(sample)
tokenized_sentences = [nltk.word_tokenize(sentence) for sentence in sentences]
tagged_sentences = [nltk.pos_tag(sentence) for sentence in tokenized_sentences]
chunked_sentences = nltk.batch_ne_chunk(tagged_sentences, binary=True)