MineRobber9000

#!/usr/bin/env python
import os, os.path, stat, sys, base64

# TOTP lib inlined
import time, hmac, base64, hashlib, struct


def pack_counter(t):
    return struct.pack(">Q", t)

eXtrem0us

version: '2'
services:
  database:
    image: 'zulip/zulip-postgresql:10'
    environment:
      POSTGRES_DB: 'zulip'
      POSTGRES_USER: 'zulip'
      # Note that you need to do a manual `ALTER ROLE` query if you
      # change this on a system after booting the postgres container
      # the first time on a host.  Instructions are available in README.md.

battmatt

# (c) Copyright 2018 Zymergen, Inc.
# All Rights Reserved
"""

The following is example code used for a technology blog post: https://medium.com/@ZymergenTechBlog/building-a-parallel-task-api-with-celery-dbae5ced4e28

The ForkJoin class can be used to generate a ZWork task that contains a single
distributed processing step.  Your job should have 3 parts. An initial setup step 
responsible for splitting of inputs into workable chunks. A process step that can
process each chunk in a forked execution process and a join step that puts it all

bradtraversy

Pipenv Cheat Sheet

Install pipenv

pip3 install pipenv

Activate

pipenv shell

slifer2015

package encryption

import (
	"crypto/cipher"
	"runtime"
	"unsafe"
)

func dup(p []byte) []byte {
q := make([]byte, len(p))

eXtrem0us

#!/bin/bash
##
while true
do
    proxychains curl -s https://bonbast.com | lynx --dump --stdin|grep USD|awk '{print $5}'
    sleep 60
done

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

ipmb

import logging.config
import os
from django.utils.log import DEFAULT_LOGGING

# Disable Django's logging setup
LOGGING_CONFIG = None

LOGLEVEL = os.environ.get('LOGLEVEL', 'info').upper()

logging.config.dictConfig({

ipmb

Default Django Logging Tree

app.py

#!/usr/bin/env python
import os

import django
import logging_tree

ruanbekker

My Elasticsearch cheatsheet with example usage via rest api (still a work-in-progress)

Shortlinks:

• Cluster Health
  • Index Level
  • Shard Level
• Nodes Overview
• Indices Overview
• Cluster Maintenance