sgtoj

#!/usr/bin/env python3
import os
import sys

import boto3
from botocore.exceptions import ClientError

# -------------------------------------------------------------------- main ---

shakna-israel

Obfuscating Python

Obfuscation isn't difficult in most programming languages. It's why we have "good practices" because it is so easy to hide what you mean in badly written code.

Obfuscation tends to be even easier in dynamic languages because of how forgiving they tend to be - and because they tend to give you direct access to the environment so that you can manipulate it.

Today, for fun, I'm going to obfuscate this code:

def _(n):

if n <= 0:

althonos

# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

[metadata]
name = {name}
version = file: {name}/_version.txt
author = Martin Larralde
author_email = [email protected]
url = https://github.com/althonos/{name}
description = {description}
long_description = file: README.md

ttrahan

function sync() {

  var id="XXXXXXXXXX"; // CHANGE - id of the secondary calendar to pull events from

  var today=new Date();
  var enddate=new Date();
  enddate.setDate(today.getDate()+7); // how many days in advance to monitor and block off time
  
  var secondaryCal=CalendarApp.getCalendarById(id);
  var secondaryEvents=secondaryCal.getEvents(today,enddate);

binaryfunt

# This file has to be saved in your Jupyter config directory (found by running
# jupyter --config-dir
# but usually C:\Users\<username>\.jupyter\jupyter_notebook_config.py on Windows

def scrub_output_pre_save(model, **kwargs):
    """scrub output before saving notebooks"""
    # only run on notebooks
    if model['type'] != 'notebook':
        return
    # only run on nbformat v4

smhanov

Pipeline multiprocessing in Python with generators

Similar to mpipe, this short module lets you string together tasks so that they are executed in parallel.

The difference is that it lets you use generators, functions which yield results instead of returning them. Each yielded item gets passed to the next stage.

You can specify that one or more copies of the workers operate on the input queue.

Things that can be in a stage

lobre

#!/usr/bin/python
# -*- coding: utf8 -*-

# sudo pip3 install mysqlclient xmltodict

import os
import MySQLdb
import xmltodict
import argparse

jfpuget

snowindy

val s3Paths = "s3://yourbucket/path/to/file1.txt,s3://yourbucket/path/to/directory"
val pageLength = 100
val key = "YOURKEY"
val secret = "YOUR_SECRET"

import com.amazonaws.services.s3._, model._
import com.amazonaws.auth.BasicAWSCredentials
import com.amazonaws.services.s3.model.ObjectListing
import scala.collection.JavaConverters._
import scala.io.Source

dovideh

#!/usr/bin/env python
#-*- coding:utf8 -*-
# sources
# 1. https://gist.github.com/tell-k/4943359#file-paramiko_proxycommand_sample-py-L11
# 2. https://github.com/paramiko/paramiko/pull/97
# info: http://bitprophet.org/blog/2012/11/05/gateway-solutions/
#  local -> proxy-server -> dest-server
# ~/.ssh/config
#
#  Host proxy-server