andr3w321

from yahooquery import Ticker
import finvizlite as fl
import pandas as pd

def download_finviz_tickers(rows):
    df = fl.scrape_all("https://finviz.com/screener.ashx?v=111&f=geo_usa&o=-marketcap", print_urls=True, rows=rows)
    df.to_csv("finviz-tickers.csv", index=False)

def download_ticker_total_assets():
    df = pd.read_csv("finviz-tickers.csv")

andr3w321

import math
import random

def alt_win_probability(p1, p2):
    diff = p1 - p2
    p = 1 - 1 / (1 + math.exp(0.00583 * diff - 0.0505))
    return p

def win_probability(p1, p2):
    diff = p1 - p2

andr3w321

import pandas as pd
import numpy as np

df = pd.read_csv('2005-srs.csv')
df_x = df.drop(['avg_mov'], axis=1)
df_srs = pd.DataFrame(np.linalg.solve(df_x.values, df['avg_mov'].values * -1.0), index=df_x.columns)
print df_srs

andr3w321

import nfldb

db = nfldb.connect()

weeks = range(1,18)
years = range(2009,2015)

def find_qbs(season_year, season_type, week):
    q = nfldb.Query(db).game(season_year=season_year, season_type=season_type, week=week)
    min_passing_yds = 10

andr3w321

require 'open-uri'
require 'json'

url = 'http://www.reddit.com/.json'
result = JSON.parse(open(url).read)
puts result['data']['children']