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U.S. Pat. No. 5,270,428 to Blair (the ‘428 Patent), which is incorporated herein by reference in its entirety, discloses an insect control system that includes a metering apparatus for applying a flowable, flammable, or combustible substance that is ingested by insects, and an ignitable source of thermal energy for igniting the substance when an insect is consumed by the substance. The insect control system has been successfully employed for trapping and killing flying insects.
U.S. Pat. No. 4,656,092 to Oppenheimer (the ‘092 Patent), which is incorporated herein by reference in its entirety, discloses a device for controlling insect populations using chemical means, in particular for controlling insect populations in a building.
U.S. Pat. No. 5,153,063 to Osborne (the ‘063 Patent), which is incorporated herein by reference in its entirety, discloses a barrier aerosol insecticide
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Downloading hundreds of URLs and get a rich result set in Python
I want to download a subset of approximately 4,000 URLs that I have access to, and feed them into a program so that it returns a rich set of information. However, I am working in Python, and my typical program so far looks like:
import urllib2
import itertools
import re
import pandas
urls = set(mylist)
for url in urls:
dom = urllib2.urlopen(url)
data = dom.read()
regex = re.compile(‘,.*’)
my_list = regex.findall(data)
a = pandas.DataFrame.from_dict(my_list)
print(a.to_csv())
This is incredibly time consuming, and returns only a few records at a time.
I would like to somehow be able to download 100-200 rows at a time, and pull in the data, but the “pandas” library doesn’t seem to support that, and looking up how to use “pandas” is also very time consuming.
I’m sure I’m just missing something simple here, but any help would be greatly appreciated.
A:
After trying a few different methods, this is what I came up with:
import urllib2
import itertools
import os
import math
import time
import pandas as pd
def get_items(number_to_get):
“””
Get all the files given a list of file names and number of items
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