bllchmbrs

import argparse
import json
import re
import os
from time import time

parser = argparse.ArgumentParser(description='Convert to Quiver Format')
parser.add_argument("src", help="The Source File You want to Convert")
args = parser.parse_args()
cells = []

bllchmbrs

from __future__ import division
import string
import math

tokenize = lambda doc: doc.lower().split(" ")

document_0 = "China has a strong economy that is growing at a rapid pace. However politically it differs greatly from the US Economy."
document_1 = "At last, China seems serious about confronting an endemic problem: domestic violence and corruption."
document_2 = "Japan's prime minister, Shinzo Abe, is working towards healing the economic turmoil in his own country for his view on the future of his people."
document_3 = "Vladimir Putin is working hard to fix the economy in Russia as the Ruble has tumbled."

bllchmbrs

from __future__ import division
import string
import math
 
tokenize = lambda doc: doc.lower().split(" ")
 
document_0 = "China has a strong economy that is growing at a rapid pace. However politically it differs greatly from the US Economy."
document_1 = "At last, China seems serious about confronting an endemic problem: domestic violence and corruption."
document_2 = "Japan's prime minister, Shinzo Abe, is working towards healing the economic turmoil in his own country for his view on the future of his people."
document_3 = "Vladimir Putin is working hard to fix the economy in Russia as the Ruble has tumbled."

bllchmbrs

import os
import sys

spark_home = os.environ.get('SPARK_HOME', None)

# check if it exists
if not spark_home:
    raise ValueError('SPARK_HOME environment variable is not set')

# check if it is a directory

bllchmbrs

{
    "geojson_crime": [
        {
            "features": [
                {
                    "geometry": {
                        "coordinates": [
                            -122.415085666416, 
                            37.7792390689538
                        ], 

bllchmbrs

bllchmbrs

# coding: utf-8
import loader
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer


x = loader.load_xy2()
with open('temp.pkl', 'wb') as f:
    pickle.dump(x, f)
    

bllchmbrs

bllchmbrs

from bs4 import BeautifulSoup
import re
import glob
​

def get_prod(soup):
    production_companies = []
    for row in soup.select("tr"):
        for th in row.select("th"):
            if th.text.strip() == "Production\ncompany":

bllchmbrs

Keybase proof

I hereby claim:

• I am anabranch on github.
• I am billc (https://keybase.io/billc) on keybase.
• I have a public key whose fingerprint is 4766 503D C86D 17E1 0E45 D1AE 44C3 1679 6FBE AC9D

To claim this, I am signing this object: