DavidLutton

Keybase proof

I hereby claim:

• I am DavidLutton on github.
• I am davidlutton (https://keybase.io/davidlutton) on keybase.
• I have a public key whose fingerprint is 5B99 DE20 5ED7 D40B 40F9 25F1 C26D 5081 9BE2 79BB

To claim this, I am signing this object:

DavidLutton

#!/bin/bash
# Use find to search for media matching USB*
# rsync *.pdf in current directory to media && sync && umount media
# Inform operator


while [ True ]
do

# echo -en "\a" # terminal tone (beep)

DavidLutton

dalun@Hertz:~/Public$ python3 -m venv ~/Public/gnuradio_venv


dalun@Hertz:~/Public$ ~/Public/gnuradio_venv/bin/pip3 install pybombs


dalun@Hertz:~/Public$ alias pybombs='~/Public/gnuradio_venv/bin/pybombs'


dalun@Hertz:~/Public$ pybombs 

DavidLutton

from pprint import pprint
import time
from random import uniform

import pytumblr  # https://github.com/tumblr/pytumblr
import requests

'''
MIT License

DavidLutton

import matplotlib

from numpy import arange, sin, pi
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from matplotlib.backend_bases import key_press_handler
# import matplotlib.animation as animation


import sys

DavidLutton

import skrf as rf
from skrf.media import Freespace
from skrf.frequency import Frequency

rf.stylely()

frequency = Frequency(300e3, 6e9, 801, unit='Hz', sweep_type='lin')
med = Freespace(frequency=frequency, z0=50)
f = frequency.f
C0 = 89.939 * 10**-15

DavidLutton

import skrf as rf
import numpy as np

from matplotlib import pyplot as plt
rf.stylely()


def filter_regions(network, minimum=-3, maximum=-30, *, offset=0.0):
    """Find regions of a filter.
    Parameters

DavidLutton

from pathlib import Path
from pprint import pprint

import pandas as pd
import numpy as np

from bokeh.plotting import figure, output_file, show, save
from bokeh.models import ColumnDataSource

for source in Path('.').glob('*.csv'):

DavidLutton

from functools import lru_cache
import io

import requests
import skrf as rf
from matplotlib import pyplot as plt


rf.stylely()

DavidLutton

import time
from datetime import datetime
from textwrap import wrap
import requests
from requests_html import HTMLSession
import paramiko
import schedule


def get_traffic(road):