#Reporter Save File Schema
##The Reporter Export File
Reporter saves to your Dropbox account with plaintext JSON files, one for each day. When a Report is entered in the app a file is created for that day if it does not exist. Otherwise, the report is appended to the existing file. The save folder is located in 'Dropbox/Apps/Reporter-App/'.
Reporter save files are named according to the following convention:
YYYY-MM-DD-reporter-export.json
| function gnn (cases, wide, tall, population, iterations, error_fn, error_thresh) { | |
| var inputs = cases[0][0].length; | |
| var outputs = cases[0][1].length; | |
| // declare net, provide input layer | |
| var net = [new Array(inputs)]; | |
| // create input neurons in input layer | |
| for (var i = 0; i < inputs; i++) | |
| net[0][i] = {output: 0} | |
| // create hidden layers | |
| for (var x = 0; x < wide; x++) { |
| #!/usr/bin/env python2 | |
| """ | |
| Author: takeshix <[email protected]> | |
| PoC code for CVE-2014-0160. Original PoC by Jared Stafford ([email protected]). | |
| Supportes all versions of TLS and has STARTTLS support for SMTP,POP3,IMAP,FTP and XMPP. | |
| """ | |
| import sys,struct,socket | |
| from argparse import ArgumentParser |
| #!/bin/bash | |
| # Slack notification script for Munin | |
| # Mark Matienzo (@anarchivist) | |
| # | |
| # To use: | |
| # 1) Create a new incoming webhook for Slack | |
| # 2) Edit the configuration variables that start with "SLACK_" below | |
| # 3) Add the following to your munin configuration: | |
| # |
| var o = {hello:'world', greetings: ['one', 'two', 'three']}; | |
| undefined | |
| // regular, difficult to read for large objects | |
| JSON.stringify(o); | |
| "{"hello":"world","greetings":["one","two","three"]}" | |
| // presto! | |
| JSON.stringify(o, '', ' '); | |
| "{ |
The state of Iowa has released an 800MB+ dataset of more than 3 million rows showing weekly liquor sales, broken down by liquor category, vendor, and product name, e.g. STRAIGHT BOURBON WHISKIES, Jim Beam Brands, Maker's Mark
This dataset contains the spirits purchase information of Iowa Class “E” liquor licensees by product and date of purchase from January 1, 2014 to current. The dataset can be used to analyze total spirits sales in Iowa of individual products at the store level.
You can view the dataset via Socrata
| #!/usr/bin/env bash | |
| #Code adapted from https://gist.github.com/yangj1e/3641843c758201ebbc6c (Modified to Python3.5) | |
| cd ~ | |
| #wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.0-Linux-x86_64.sh | |
| wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.4.1-Linux-x86_64.sh | |
| bash Anaconda3-2.4.1-Linux-x86_64.sh -b | |
| echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc | |
| . .bashrc |
by Bjørn Friese
Beautiful is better than ugly. Explicit is better than implicit.
I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.
| #!/usr/bin/python3 | |
| # | |
| # Simple Bloom filter implementation in Python 3 | |
| # Copyright 2017 Hector Martin "marcan" <[email protected]> | |
| # Licensed under the terms of the MIT license | |
| # | |
| # Written to be used with the Have I been pwned? password list: | |
| # https://haveibeenpwned.com/passwords | |
| # | |
| # Download the pre-computed filter here (968MB, k=11, false positive p=0.0005): |
