salmoni

package main

import (
	"fmt"
	"log"
	"strings"

	"github.com/PuerkitoBio/goquery"
)

salmoni

class CSVObject(object):
    """
    This class instantiates a file object as an interable. It means that 
    CSV files can be read more efficiently than reading the entire data 
    into memory. 
    """
    def __init__(self, fileName, delims, quotes):
        self.fileName = fileName
        self.delims = delims
        self.quotes = quotes

salmoni

def ParseLine(line, delims, quotes):
    """
    Parses a line of text into components. This attempts to 
    be a proper parser that can cope with multiple delimiters.
    """
    inQuote = False # flag for being 'within' quotes
    token = '' # current token
    tokens = [] # list of tokens
    for char in line:
        if inQuote: # so if we're in the middle of a quote...

salmoni

import datetime
def GetToday():
    now = datetime.date.today()
    return now.strftime("%Y-%m-%d")
 
if __name__ == '__main__':
    print GetToday()
    

salmoni

"""
Grouped descriptives
 
(c) 2013, Alan James Salmoni
"""
 
def Count(data):
    return len(data)
 
def Sum(data):

salmoni

import numpy
 
x = numpy.array(range(400))
xm = x.mean()
xstd = x.std()
 
def fitline(y):
    N = len(y)
    x = numpy.array(range(N))
    ym = y.mean()

salmoni

import _winreg as wreg
current_file = __file__
key = wreg.CreateKey(wreg.HKEY_CURRENT_USER, "Software\\Microsoft\\Internet Explorer\\Main\\FeatureControl\\FEATURE_BROWSER_EMULATION")
wreg.SetValueEx(key, current_file, 0, wreg.REG_DWORD, 10001)

salmoni

import numpy
 
x = numpy.array(range(400))
xm = x.mean()
xstd = x.std()
 
def fitline(y):
    N = len(y)
    x = numpy.array(range(N))
    ym = y.mean()

salmoni

velocity <- function(vector) {
    N <- length(vector)
    val <- sum(abs(vector[1:N-1]-vector[2:N]))
    return (val)
}