TimSC

<?xml version="1.0"?>
<opencv_storage>
<image_Width>1920.0</image_Width>
<image_Height>1090.0</image_Height>
<flagValue>14</flagValue>
<Camera_Matrix type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>d</dt>
  <data>

TimSC

import numpy as np

if __name__=="__main__":

	X = np.ones((4, 4))
	X[:, :2] = [[663, 706], [1303, 74], [2491, 1302], [2935, 747]]
	X[:, 2] = X[:, 0] * X[:, 1]

	lats = 50.777453115, 50.7856611742, 50.7704862, 50.778133
	coeffLats = np.linalg.lstsq(X, lats)[0]

TimSC

//Compile with: g++ test.cpp -lgeos_c -o test
#include <geos_c.h>
#include <stdio.h>

void noticeFunc(const char *message, ...)
{
	printf("notice: %s\n", message);
}

void errorFunc(const char *message, ...)

TimSC

• cd /var/www
• sudo django-admin startproject mysite
• sudo chown www-data:www-data -R mysite
• sudo chmod g+rw -R mysite
• cd mysite
• sudo pip install uwsgi
• python manage.py startapp polls

sudo xed /etc/nginx/sites-available/mysite

TimSC

#Generating zero move nim game outcomes
import copy

def GenGames(piles, passes, turn, stateOptions, stateWins):

	options = []

	nonZeroPiles = []
	for i, p in enumerate(piles):
		if p > 0:

TimSC

import math

class SieveOfEratosthenes(object):
	def __init__(self, limit1, limit2 = None):
		if limit2 is None:
			self.lowerLimit = 2
			self.upperLimit = limit1
		else:
			if limit1 <= 1:
				raise RuntimeError("Lower limit must be at least 2")

TimSC

#!/bin/python
#Based on: EERTREE: An Efficient Data Structure for Processing Palindromes in Strings
#by Mikhail Rubinchik and Arseny M. Shur https://arxiv.org/pdf/1506.04862.pdf

#Useful: https://medium.com/@alessiopiergiacomi/eertree-or-palindromic-tree-82453e75025b#.ofgt2r7xn

#Port of https://github.com/zimpha/algorithmic-library/blob/master/string-utility/eertree.cc
#to python by TimSC. zimpha kindly allowed me to release this code under the CC0 license.

from __future__ import print_function

TimSC

#Dead end approach to https://www.hackerrank.com/challenges/stockprediction
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats

fi = open("sample.txt", "rt")
lis = fi.read().split("\n")
stocks = {}

for li in lis:

TimSC

#By Tim Sheerman-Chase 2016
#Released under the CC0 license
from __future__ import print_function
import itertools, copy

class RunningAverage(object):
	def __init__(self):
		self.Val = 0.0
		self.Count = 0

TimSC

from __future__ import print_function

def calc_board(limit = 9):
	board = {}
	board[(0,0)] = 0
	posToCheck = set([(0,0)])

	while len(posToCheck) > 0:
		posToCheck2 = set()
		for pos in posToCheck: