JasonRBowling

import numpy as np
import seaborn as sns
import matplotlib.pylab as plt
import pandas as pd
import csv
import datetime

reader = csv.reader(open('StatePopulations.csv'))

statePopulations = {}

JasonRBowling

echo "Clearing old data..."
rm -rf covid-19-data/
rm us-states.csv
echo "Getting new data..."
git clone https://github.com/nytimes/covid-19-data
echo "Done."

cp covid-19-data/us-states.csv .
echo "Starting..."

JasonRBowling

#!/usr/bin/env python

rh = {
    "username": "",
    "password": "",
}

config = {
    "statusEmailAddress": "[email protected]",
    "buyLimit": 0.0075,

JasonRBowling

class coin:
    purchasedPrice = 0.0
    numHeld = 0.0
    numBought = 0.0
    name = ""
    lastBuyOrder = ""
    timeBought = ""

    def __init__(self, name=""):
        print("Creating coin " + name)

JasonRBowling

# generate moving averages
        for c in self.coinList:
            colName = c + "-MA"
            self.data[colName] = self.data[c].shift(1).rolling(window=self.movingAverageWindows).mean()
            colName = c + "-RSI"
            self.data[colName] = talib.RSI(self.data[c].values, timeperiod = self.rsiWindow)

JasonRBowling

def buy(self, c, price):

        #we are already in the process of a buy, don't submit another
        if self.boughtIn == True:
            print("Previous buy incomplete.")
            return

        availableCash = self.getCash()
        if availableCash == -1:
            print("Got an exception checking for available cash, canceling buy.")

JasonRBowling

 # Calculate wheel speeds in m/s
    #reference https://snapcraft.io/blog/your-first-robot-the-driver-4-5
    left_wheel_vel = data.linear.x - ((data.angular.z * wheel_base) / 2.0)
    right_wheel_vel = data.linear.x + ((data.angular.z * wheel_base) / 2.0)


    # convert the required wheel speeds in m/s into rpms
    c = math.pi * wheel_diameter  # wheel circumference in meters
    right_rpm = int((right_wheel_vel / c) * 60.0 * gear_ratio)
    left_rpm = int((left_wheel_vel / c) * 60.0 * gear_ratio)

JasonRBowling

def l_tick_cb(msg):
    global wheel_diameter
    global l_distance
    global l_vel

    ticks = msg.data
    l_distance = ((ticks / 32.0) / 56.0) * (math.pi * wheel_diameter)
    l_vel = l_distance * 20.0
    l_rpm_actual = (ticks / 32.0) * 20.0 * 60.0
    #print("l_vel: " + str(l_vel))

JasonRBowling

# compute the overall motion of the robot since last update
    vec_v = (r_vel + l_vel) / 2.0
    ang_vel = (r_vel - l_vel) / wheel_base

    # decompose into x, y components of velocity vector
    vx = vec_v * math.cos(ang_vel)

    # calculate angular velocity
    vy = vec_v * math.sin(ang_vel)

JasonRBowling

str2str -in ntrip://username:password@caster_ip_address:port/ODOT_VRS_RTCM3 -n 1 -b 1 -out serial://ttyACM0:38400:8:n:1