jackschultz’s gists

jackschultz / bitcoin_block_difficulty_analysis.py

Created November 12, 2017 23:47

Showing of Bitcoin's Proof of Work difficulty is calculated and changed.

	import datetime

	###################################################################
	#
	# Showing the way bits, difficulty, target, and hash work together.
	#
	###################################################################

	print "Calculating target from bits, verifying the block's hash is valid, and verify the calculated difficulty."

jackschultz / linknodes.sh

Last active June 29, 2019 19:54

Script for linking the jbc repo into another dir to be able to run the node on a different port. The jbc readme has more information.

	#!/bin/bash

	port=$1

	if [ -z "$port" ] #if port isn't assigned
	then
	echo Need to specify port number
	exit 1
	fi

jackschultz / genius_song_scrape.py

Created November 23, 2016 17:16

For artist name in artist_names list, this will use Genius' API and website to download the info and lyrics (as best can be done with html scraping) into named folders in current directory. Need Geinus API Bearer token as well.

	import requests
	from bs4 import BeautifulSoup
	import os, json

	base_url = "http://api.genius.com"
	headers = {'Authorization': 'Bearer GENIUS_API_BEARER_STRING'}

	artist_names = ["Fleet Foxes"]

	def artist_id_from_song_api_path(song_api_path, artist_name):

jackschultz / recombinator.py

Created December 17, 2015 17:56

Accepts json string, reformats the data and matches variable names with arrays of their values according to certain rules. Can be used from command line by running "python recombinator.py STRING" where STRING is valid json, or it can be imported and run with other python code.

	import sys
	import json
	from collections import defaultdict

	def parse_list_based_json(data):
	out = {}
	for index, value in enumerate(data[0]):
	out[value] =[row[index] for row in data[1:]]
	return out

jackschultz / gist:38c8462d8c3b6d74f422

Created June 7, 2015 19:10

Analysis of nobel prize winners and their ages

	from bs4 import BeautifulSoup
	import unicodedata
	import matplotlib.mlab as mlab
	import matplotlib.pyplot as plt
	from scipy.stats import norm

	class Prize:
	def __init__(self, name, age, year, prize_type, description):
	self.name = unicodedata.normalize('NFKD', name).encode('ascii','ignore') #umlaut issues
	self.age = age

jackschultz / points_from_results.py

Last active April 13, 2019 19:52

This takes a Draftkings result csv file, and extracts the scores for the individual players by using the lineups and lineup point totals.

	import csv
	import numpy as np

	points_label = "Points"
	lineup_label = "Lineup"
	players = set()
	num_lineups = 0

	with open('outcome.csv', 'rb') as csvfile:
	rows = csv.reader(csvfile)

jackschultz / ner-take2.py

Created September 25, 2013 15:38

Even better NER. I should probably change from gists to a regular repo.

	import nltk
	import string
	import requests
	import operator
	import re
	import logging
	from collections import defaultdict

	pattern = '[A-Z][^A-Z]*'

jackschultz / ner_take2.py

Created September 23, 2013 16:03

Second revision of my NER system. More pluggable and less error prone.

	import nltk
	import string
	import pprint
	import requests
	import operator
	import re
	import logging
	from collections import defaultdict

	FREEBASE_API_KEY = ''

jackschultz / ner.py

Created September 19, 2013 16:52

Named Entity Recognition with python

	import nltk
	import requests

	FREEBASE_API_KEY = ''

	class FindNames(object):

	def __init__(self, text, freebase_api_key):
	self.text = text
	self.key = freebase_api_key

jackschultz / classify.clj

Created September 1, 2013 21:09

Simple classification algorithm that uses urls and the text in the articles.

	(ns gb-or-syria.core
	(:use [boilerpipe-clj.core]
	[opennlp.nlp]
	[opennlp.treebank]
	[clojure.pprint :only [pprint]]
	[opennlp.tools.filters]
	[clojure.set]
	[clojure.string :only [split-lines]]
	[stemmer.snowball])
	(:gen-class))

Jack Schultz jackschultz