yair 5shekel

we will build an index for an academic book . attached is an excel with the terms

follow this guideline between the three ### lines

INTRODUCTION: WORKING WITH T&F

ok we are done, this is the powershell script.
written and tested on tami ubuntu machine.
powershell is a modern, cross platfrom shell

# adapt input directory and output directory, fit your operating system

	$condaenvs = (conda env list \| Out-String) -split "`n"
	foreach ($condaenv in $condaenvs) {
	$name = $condaenv.Split(' ')[0]

	if ($name -ne "" -and $name -ne "#") {
	Write-Output "================================================================"
	Write-Output "Environment: $name"

	Write-Output "`nChecking for Jupyter:"
	& cmd /c "call activate $name && jupyter --version"

	# an LLM attempt at an https://noisio.de/boards/levitation-oscillator

	import streamlit as st
	import numpy as np
	from pydub import AudioSegment
	from pydub.playback import play
	import tempfile

	def generate_sine_wave(frequency, amplitude, phase, duration, sample_rate):
	t = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)

	import streamlit as st
	import json
	import base64
	import requests
	from PIL import Image
	import os, io


	output_folder = "../output"
	if not os.path.exists(output_folder):

	from bs4 import BeautifulSoup
	import requests
	import re
	import urllib2
	import os
	import argparse
	import sys
	import json

	# adapted from http://stackoverflow.com/questions/20716842/python-download-images-from-google-image-search



	# sudo apt install libgl1-mesa-glx libegl1-mesa libxrandr2 libxrandr2 libxss1 libxcursor1 libxcomposite1 libasound2 libxi6 libxtst6
	# wget -P /tmp https://repo.anaconda.com/archive/Anaconda3-2020.02-Linux-x86_64.sh
	# bash /tmp/https://repo.anaconda.com/archive/Anaconda3-2020.02-Linux-x86_64.sh
	# conda create --name opencv -c conda-forge opencv
	# conda activate opencv
	# pip install opencv-contrib-python
	# python testSource.py
	# ['FFMPEG', 'GSTREAMER', 'INTEL_MFX', 'MSMF', 'V4L2', 'CV_IMAGES', 'CV_MJPEG', 'UEYE']

	from __future__ import division
	import time
	import Adafruit_PCA9685

	from pyueye import ueye
	import ctypes
	import datetime

	pwm = Adafruit_PCA9685.PCA9685(address = 0x40) #1st
	pwm1 = Adafruit_PCA9685.PCA9685(address = 0x41) #2nd

	#!/usr/bin/env python
	# -- coding:utf-8 --
	# extract YouTube videoids from html

	import re
	import json
	import urllib2
	from BeautifulSoup import BeautifulSoup

	def get_videoids(url):