thoolihan

#!/usr/bin/env bash

RAW_PATH_TMP=`mktemp`
CLEAN_PATH_TMP=`mktemp`

echo $PATH | sed 's/:/\n/g' | sort > $RAW_PATH_TMP
cat $RAW_PATH_TMP | uniq > $CLEAN_PATH_TMP

declare -i LINES=$(( `diff $RAW_PATH_TMP $CLEAN_PATH_TMP | wc -l` / 2 ))

thoolihan

WITH cteRevenueDays(Orders, StoreDate, Revenue) AS (
	SELECT COUNT(SalesOrderID) AS Orders
		,CAST(OrderDate AS DATE) as [StoreDate]
		,SUM(SubTotal) AS Revenue
	FROM [AdventureWorks2019].[Sales].[SalesOrderHeader]
	WHERE DATEPART(YEAR, CAST(OrderDate as DATE)) = 2011
		AND DATEPART(MONTH, CAST(OrderDate as DATE)) = 7
	GROUP BY CAST(OrderDate as DATE)
) SELECT 
	StoreDate

thoolihan

import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin

# Adapted from https://www.kaggle.com/ogrellier/python-target-encoding-for-categorical-features

class TargetEncoder(BaseEstimator, TransformerMixin):
    def __init__(self, columns, noise_level = 0):
        self.columns = columns
        self.maps = {}

thoolihan

#include <iostream>
#include <iomanip>
#include "math.h"

using namespace std;

float pmf(int k, double lambda) {
    // https://en.wikipedia.org/wiki/Poisson_distribution#Definition
    return pow(M_E, k * log(lambda) - lambda - lgamma(k + 1.0));
}

thoolihan

#!/usr/bin/env ruby

rubies = `rvm list`.split(/\s+/).find_all{|s| s.include? "ruby"}

def fetch_for(rvm_spec)
	system "rvm use #{rvm_spec}"
	system "gem install rcodetools"
end

def valid_gemset?(name)

thoolihan

data <- -10:10
lims <- range(data)
x <- sample(data, 50, replace = TRUE)

par(mfrow=c(1, 5))

plot(x, ylim=lims, main="initial data")

# only positive
plot(pmax(x, 0), ylim=lims, main="clip bottom")

thoolihan

# casting as integer
int_cyl <- as.integer(mtcars$cyl)
int_cyl

# creating a factor
factor_cyl <- as.factor(mtcars$cyl)
factor_cyl

# flag columns / dummy variables
library(caret)

thoolihan

library(tidyverse)

ROLLS <- 4
SIMS <- 10000
  
#calculate
ncombos <- choose(ROLLS,2)
two_sixes <- 1/6 * 1/6 * 5/6 * 5/6

print(sprintf("choose(4, 2) * 25/(6^4) = %f", ncombos * two_sixes))

thoolihan

from mcstatus import MinecraftServer
import argparse
import json

parser = argparse.ArgumentParser()
parser.add_argument("server", help="server name or ip", nargs='?', type=str, default="localhost")
parser.add_argument("port", help="server port", nargs='?', type=int, default=25565)
args = parser.parse_args()

print("Querying server host: {} port: {}".format(args.server, args.port))

thoolihan

args <- commandArgs()

trailing_args <- commandArgs(trailingOnly = TRUE)

print(args)

writeLines("\n====Just Trailing====\n\n")

print(trailing_args)