gabegaster’s gists

gabegaster / BabyBib.r

Created April 23, 2012 16:53

Use plyr to get figure out which baby names are biblical

	library(plyr)
	library(reshape2)
	library(ggplot2)

	bnames <- read.csv("bnames.csv", stringsAsFactors = FALSE)
	bibnames <- read.csv('BiblicalNames.txt')$BiblicalNames
	bnames$bibl <- is.element(bnames$name, bibnames)
	bibpop <- ddply(bnames, c('year', 'sex', 'bibl'), summarise, tot=sum(percent))
	bibpopT <- subset(bibpop, bibl==TRUE)
	qplot(year, tot, data=bpopT, geom='line', colour=sex, ymin=0, ymax=1)

gabegaster / holomorphic.jl

Last active December 20, 2015 21:28 — forked from johnmyleswhite/holomorphic.jl

named functions (du_dx, du_dy, dv_dx, dv_dy) to make it completely transparent that the cauchy-riemann equations are being used, and what the actual check is.

	# f(z = x + iy) = u(x, y) + i * v(x, y)
	function finite_difference{T <: Complex}(f::Function,
	z::T,
	alongx::Bool = true,
	alongu::Bool = true)
	epsilon = sqrt(eps(max(abs(one(T)), abs(z))))
	if alongx
	zplusdz = z + epsilon
	else
	zplusdz = z + epsilon * im

gabegaster / know_the_cubes.py

Created January 24, 2014 16:35

Train Yourself to Take Cube Roots

	'''
	A script to train myself on knowing the cuberoots of perfect cubes with 6 digits or less.
	'''

	import sys, random, time

	print "welcome to know these ten cubes "

	count = 0
	start = time.time()

gabegaster / query_twine_example_daemon.py

Created January 27, 2014 17:59

Query Twine

	'''
	An example daemon to query twine and log results.

	Gabe Gaster, Datascope Analytics, 2014
	[email protected]
	'''

	import requests, json, time

	twine_id = "00000----------" # twine id

gabegaster / tempodb_twine_daemon_example.py

Created January 28, 2014 20:44

scrape twine data and push to tempodb

	import requests
	import json
	import datetime
	import time
	import pytz
	import tempodb

	# Modify these with your credentials found at: http://tempo-db.com/manage/
	API_KEY = 'intentionally left blank'
	API_SECRET = 'fffffffffffffffffffff'

gabegaster / index.html

Created March 10, 2014 20:21 — forked from njvack/LICENSE

	<html>
	<head>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js"></script>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.geom.js"></script>
	</head>
	<body>
	<div id="chart">
	</div>
	<script type="text/javascript">
	var w = 960,

gabegaster / .gitignore

Last active August 29, 2015 14:04 — forked from deanmalmgren/.gitignore

	sample_a.dat
	sample_b.dat

gabegaster / isotropic.py

Last active August 29, 2015 14:05

Finding nested isotropic spaces in characteristic 2.

	from itertools import combinations, product
	import numpy as np
	import csv

	def get_lucas_matrix(genus=3):
	# generate V, all non-zero binary 2*genus tuples.
	V = (np.array(m)
	for m in product(( [range(2)]genus*2 ))
	if np.array(m).sum()>0)

gabegaster / gist:904e34a68f4e1893b0e0

Created May 5, 2015 20:25

Mr S and Mr P: From http://programmingpraxis.com/2009/10/23/mr-s-and-mr-p/ and told to me by Mike Stringer. My answer in pure python.

	"""From http://programmingpraxis.com/2009/10/23/mr-s-and-mr-p/ and
	told to me by Mike Stringer. John McCarthy, who discovered Lisp,
	attributes this puzzle to Hans Freudenthal:

	We pick two numbers a and b, so that 100>a,b>1. We tell
	Mr. P. the product ab and Mr. S. the sum a+b. Then Mr. S. and
	Mr. P. engage in the following dialog:

	Mr. P.: I don't know the numbers.
	Mr. S.: I knew you didn't know. I don't know either.

Gabriel Gaster gabegaster