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@jackschultz
jackschultz / bitcoin_block_difficulty_analysis.py
Created Nov 12, 2017
Showing of Bitcoin's Proof of Work difficulty is calculated and changed.
View bitcoin_block_difficulty_analysis.py
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
jackschultz / linknodes.sh
Last active Jun 29, 2019
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.
View linknodes.sh
#!/bin/bash
port=$1
if [ -z "$port" ] #if port isn't assigned
then
echo Need to specify port number
exit 1
fi
@jackschultz
jackschultz / points_from_results.py
Last active Apr 13, 2019
This takes a Draftkings result csv file, and extracts the scores for the individual players by using the lineups and lineup point totals.
View points_from_results.py
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
jackschultz / article-summarizer.py
Created Aug 30, 2013
Article summarizer written in python.
View article-summarizer.py
import nltk
from nltk.stem.wordnet import WordNetLemmatizer
import string
class SentenceRank(object):
def __init__(self, body, title):
self.body = body
self.sentence_list = nltk.tokenize.sent_tokenize(self.body)[:]
self.title = title
@jackschultz
jackschultz / ner.py
Created Sep 19, 2013
Named Entity Recognition with python
View ner.py
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
jackschultz / genius_song_scrape.py
Created Nov 23, 2016
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.
View genius_song_scrape.py
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
jackschultz / ner-take2.py
Created Sep 25, 2013
Even better NER. I should probably change from gists to a regular repo.
View ner-take2.py
import nltk
import string
import requests
import operator
import re
import logging
from collections import defaultdict
pattern = '[A-Z][^A-Z]*'
@jackschultz
jackschultz / ner_take2.py
Created Sep 23, 2013
Second revision of my NER system. More pluggable and less error prone.
View ner_take2.py
import nltk
import string
import pprint
import requests
import operator
import re
import logging
from collections import defaultdict
FREEBASE_API_KEY = ''
@jackschultz
jackschultz / classify.clj
Created Sep 1, 2013
Simple classification algorithm that uses urls and the text in the articles.
View classify.clj
(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))
@jackschultz
jackschultz / article-summarizer.clj
Created Aug 30, 2013
Clojure implementation of a semi-naive article summarizer. Takes the url supplied and attempts to find the num-sentences most "valuable" sentences ranked by most words in common with other sentences. To run, throw into Leiningen and download the opennlp binaries.
View article-summarizer.clj
(ns classify.core
(:use [boilerpipe-clj.core]
[opennlp.nlp]
[opennlp.treebank]
[clojure.pprint :only [pprint]]
[opennlp.tools.filters]
[clojure.set]
[stemmer.snowball])
(:gen-class))
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