Tim Hopper tdhopper

Cornelius Lanczosm, H. Eves Mathematical Circles Squared

Most of the arts, as painting, sculpture, and music, have emotional appeal to the general public. This is because these arts can be experienced by some one or more of our senses. Such is not true of the art of mathematics; this art can be appreciated only by mathematicians, and to become a mathematician requires a long period of intensive training. The community of mathematicians is similar to an imaginary community of musical composers whose only satisfaction is obtained by the interchange among themselves of the musical scores they compose.

Springfield, April 1, 1838.

Dear Madam : —

Without apologizing for being egotistical, I shall make the history of sb much of my life as has elapsed since I saw you the subject of this letter. And, by the way, I now discover that, in order to give a full and intelligible account of the things I have done and suffered since I saw you, I shall necessarily have to relate some that happened before.

	import pandas as pd
	import requests
	username = 'STORM-UI-USERNAME'
	password = 'STORM-UI-PASSWORD'
	base_url = 'STORM-UI-URL'
	cluster_summary = '/api/v1/cluster/summary'
	topology_summary = '/api/v1/topology/summary'
	topology_detail = '/api/v1/topology/{topology}'
	component = '/api/v1/topology/{topology}/component/{component}'

	library(ggplot2)

	set.seed(10)
	data = rnorm(100)

	ggplot(data.frame(data=data), aes(x=data))+
	geom_histogram(fill="#4F81BD", binwidth=.5)+
	theme(panel.background = element_rect(fill = "transparent",colour = NA),
	panel.grid.minor = element_blank(),
	panel.grid.major = element_line(colour="#CDCDCD",size=0.25),

	#!/usr/local/bin/python3

	zip_code = '27560'
	api_url = 'http://5dayweather.org/api.php?city=%s' % zip_code

	from urllib.request import urlopen
	import json

	response = urlopen(api_url).read()
	d = json.loads(response.decode('utf8'))

	#!/usr/bin/env python
	import os, json
	import subprocess

	def get_clipboard():
	p = subprocess.Popen(['pbpaste'], stdout=subprocess.PIPE)
	retcode = p.wait()
	data = p.stdout.read()
	return data

	import dateutil
	import pandas as pd
	import random
	from os.path import expanduser, join
	home = expanduser("~")


	with open(join(home, "Dropbox/Text Notes/Weight.txt"), "r") as f:
	lines = f.readlines()

	tdhopper@~/temp $ echo "hello" > file1.txt
	tdhopper@~/temp $ mkdir lib
	tdhopper@~/temp $ cp file1.txt lib/file2.txt
	tdhopper@~/temp $ mkdir dir2
	tdhopper@~/temp $ cp file1.txt dir2/file3.txt
	tdhopper@~/temp $ ag hello
	dir2/file3.txt
	1:hello

	file1.txt