pixyj’s gists

pixyj / beta_distribution.R

Created June 21, 2014 01:51

Beta Distribution in R

	#https://www.youtube.com/watch?v=UZjlBQbV1KU
	x <- seq(0, 1, length=100)
	a= 0.5
	b= 0.5
	y <- x^(a-1) * (1-x)^(b-1)
	plot(x, y, type="l", lwd=3)

pixyj / fours_and_fives.py

Last active August 29, 2015 13:57

Any integer greater than or equal to 12 can be written as a sum of 4's and 5's

	import collections
	import functools

	#https://wiki.python.org/moin/PythonDecoratorLibrary#Memoize

	class memoized(object):
	'''Decorator. Caches a function's return value each time it is called.
	If called later with the same arguments, the cached value is returned
	(not reevaluated).
	'''

pixyj / write.py

Created March 15, 2014 07:17

Write a Python sequence into a file

	def write(file_path, sequence, line_format):
	"""
	Example Usage: Save squares of numbers from 1 to 100 in a csv file

	squares = ( (i, i * i) for i in range(1, 101))
	write("squares.txt", squares, "{},{}")

	"""

	lines = (line_format.format(*line_variables) for line_variables in sequence)

pixyj / play_publish.go

Last active August 29, 2015 13:57

Simple Go program to check if your app is published yet on the Play Store

	package main

	import (
	"fmt"
	"net/http"
	"time"
	"os/exec"
	)

	func IsAppPublished(url string) bool {

pixyj / mle.csv

Created February 16, 2014 09:10

Maximum Likelihood estimator for k heads in n trials. https://www.udacity.com/course/viewer#!/c-st101/l-48727700/e-48726376/m-48724282

pixyj / flip_predictor.py

Created February 16, 2014 06:26

Flip Predictor. Drill to learn Bayes Rule in Udacity's Intro to Stats class

	#FlipPredictor
	#A coin is drawn at random from a bag of coins of varying probabilities
	#Each coin has the same chance of being drawn
	#Your class FlipPredictor will be initialized with a list of the probability of
	#heads for each coin. This list of probabilities can be accessed as self.coins
	#in the functions you must write. The function update will be called after every
	#flip to enable you to update your estimate of the probability of each coin being
	#the selected coin. The function pheads may be called and any time and will
	#return your best estimate of the next flip landing on heads.

pixyj / watchdog_starter

Created February 6, 2014 09:22

Seed file for listening to filesystem changes using python watchdog

	import os
	import time

	from watchdog.observers import Observer
	from watchdog.events import FileSystemEventHandler

	class VHandler(FileSystemEventHandler):

	def __init__(self):
	FileSystemEventHandler.__init__(self)

pixyj / knapsack.py

Created December 4, 2013 16:22

Dynamic programming solution to knapsack problem in python.

	#For simulations
	import random

	class Item(object):
	def __init__(self, value=0, weight=0):
	self.value = value
	self.weight = weight

	def __repr__(self):
	return "({value}, {weight})".format(**self.__dict__)

pixyj / max_weight_independent_set

Last active December 30, 2015 05:39

Max weight independent set of a path graph

pixyj / data.txt

Created November 30, 2013 18:38

Solution to inversion count in an array. HackerRank problem: http://www.hackerrank.com/challenges/insertion-sort $ python inv_count.py < data.txt

Pramod Lakshmanan pixyj