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#!/usr/bin/env python2

#Squelch matplotlib / seaborne error
import warnings
warnings.filterwarnings("ignore")

import matplotlib
import matplotlib.pyplot as plt
import pandas
import MySQLdb

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#Taken from: http://scriptorium.serve-it.nl/view.php?sid=68
#and
#https://www.mrexcel.com/forum/excel-questions/391426-ping-list-servers-excel.html
Option Explicit

'Requires references to Microsoft Scripting Runtime and Windows Script Host Object Model.
'Set these in Tools - References in VB Editor.


Public Function PingResult(sHost As String) As String

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#Copied from https://www.geekality.net/2016/03/07/excel-function-for-nslookup-in-worksheet/
#Usage: Given an IP in cell A1, to get the hostname: =NSLookup(A1; 2)
Public Function NSLookup(lookupVal As String, Optional addressOpt As Integer) As String
   Const ADDRESS_LOOKUP = 1
   Const NAME_LOOKUP = 2
   Const AUTO_DETECT = 0
   
   'Skip everything if the field is blank
   If lookupVal <> "" Then
        Dim oFSO As Object, oShell As Object, oTempFile As Object

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#1
: sysctl -a | egrep -i 'hw.machine|hw.model|hw.ncpu'
  hw.machine: amd64
  hw.model: Intel(R) Celeron(R) CPU 1037U @ 1.80GHz
  hw.ncpu: 2
  hw.machine_arch: amd64

#2 Test for temp
:/sbin/sysctl hw.acpi.thermal.tz0.temperature
:/sbin/sysctl -a | grep "^dev.*0.temperature"

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Brute Find
#Use:
#sudo ./brutefind.sh > /dev/null 2>&1

#find /sys/ -type f | while read f; do
#find /proc/ -type f |  grep -v '/proc/^[0-9]\{5\}$' | while read f; do

find /proc/ -type f | while read f; do

#Grep quietly on the results (read f) of files.  Count the numbers, contained within. 

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View Images - basic - numbered
---------------------------------------------------------
<?php
$files = glob("*.jpg");
/* for ($i=1; $i<count($files); $i++) */
for ($i=1; $i<=10; $i++)
{
        $num = $files[$i];
        list($width, $height, $type, $attr) = getimagesize("'.$num.'");
        $fn = getimagesize("'.$num.'");

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#!/bin/bash

#Pre-requisites: file named hourly_temp, smtp client
#touch hourtemp_email
cat /dev/null>/home/pi/hourtemp_email
hourlytemp=$(awk '{print $1/1000 * 1.8 + 32}' /sys/class/thermal/thermal_zone0/temp | awk '{printf("%d\n",$1 + 0.5)}')

        export [email protected]
        export [email protected]
        export sensorsubject=TEMP:$hourlytemp

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%matplotlib inline
import time
import os
import glob
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pylab as plt 
from matplotlib import rcParams
rcParams.update({'figure.autolayout': False})

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import os
#import glob
#import time

path = "C:/path/to?files/*.csv"
for fname in glob.glob(path):
    temp1=os.path.basename(os.path.normpath(fname))
    filename=temp1.split('.')[0]
    dt=time.strftime('%Y%m%d', time.gmtime(os.path.getmtime(fname)))
    print(filename+","+dt)

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import os

#Change csv to match the file extension you are searching for
path = "C:/path/to/files/*.csv"
for fname in glob.glob(path):
    temp1=os.path.basename(os.path.normpath(fname))
    filename=temp1.split('.')[0]
    print(filename)