Bob Hammell rhammell

## code.py
import time
import random
import board
import displayio
import fourwire
import adafruit_ili9341
import pwmio

# Create display
displayio.release_displays()

## main.css
body {
  color: #333;
  font-family: "PT Sans", sans-serif;
}

#main {
  width: 960px;
  margin: 2em auto 4em auto;
}

## index.html
<!DOCTYPE html>

<html lang="en">
  <head>
    <meta charset="utf-8">
    <title>Crypto Trades</title>
    <link rel="stylesheet" href="css/main.css">
  </head>

  <body>

## flowmeter.py
import json
import time
import requests
from datetime import datetime
import RPi.GPIO as GPIO


class FlowMeter():
    ''' Class representing the flow meter sensor which handles input pulses
        and calculates current flow rate (L/min) measurement

## reddit_notifier.md

      
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                rhammell
                / reddit_notifier.md
            
            
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              July 3, 2022 00:13
            
          
    Making a Reddit Upvote Notifier

The Arduino Yún's ability to connect to the Internet introduces many new possibilities to traditional Arduino development, such as capturing data from the web and making use of it inside of a sketch.
This project will demonstrate this ability by monitoring the number of upvotes accrued by a Reddit comment thread and alerting the user when new upvotes are added.
Many companies offer application programming interfaces (APIs, for short) that allow third-party programs to access their data. Reddit, for example, provides an API that gives detailed information and statistics for posts, comment threads, and users.
This project uses a Python script on the Yun's Linux side to read the current upvote count from a comment thread using Reddit's API. A skech running on the Arduino side will track this number and display a notification message on an LED matrix every time a new vote is added.

  
## hourly.py
''' Get historic crypto price data using the GDAX API '''

import time
import datetime
import json
import gdax

# Create gdax client
client = gdax.PublicClient()

## demo.csv

          
            label
            value1
            value2

            
              Label A
              9661
              502762091

            
              Label B
              10767
              752485322

            
              Label C
              5698
              500227050

            
              Label D
              7324
              262195449

            
              Label E
              3885
              102223166

            
              Label F
              2603
              95522280

            
              Label G
              1149
              20167556

            
              Label H
              1502
              11810268

            
              Label I
              1079
              23298055

## data.tsv

          
            date
            close

            
              24-Apr-07
              93.24

            
              25-Apr-07
              95.35

            
              26-Apr-07
              98.84

            
              27-Apr-07
              99.92

            
              30-Apr-07
              99.80

            
              1-May-07
              99.47

            
              2-May-07
              100.39

            
              3-May-07
              100.40

            
              4-May-07
              100.81

## test.py
print("test")
	import time
	import random
	import board
	import displayio
	import fourwire
	import adafruit_ili9341
	import pwmio

	# Create display
	displayio.release_displays()
	body {
	color: #333;
	font-family: "PT Sans", sans-serif;
	}

	#main {
	width: 960px;
	margin: 2em auto 4em auto;
	}
	<!DOCTYPE html>

	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Crypto Trades</title>
	<link rel="stylesheet" href="css/main.css">
	</head>

	<body>
	import json
	import time
	import requests
	from datetime import datetime
	import RPi.GPIO as GPIO


	class FlowMeter():
	''' Class representing the flow meter sensor which handles input pulses
	and calculates current flow rate (L/min) measurement
	''' Get historic crypto price data using the GDAX API '''

	import time
	import datetime
	import json
	import gdax

	# Create gdax client
	client = gdax.PublicClient()
label	value1	value2
Label A	9661	502762091
Label B	10767	752485322
Label C	5698	500227050
Label D	7324	262195449
Label E	3885	102223166
Label F	2603	95522280
Label G	1149	20167556
Label H	1502	11810268
Label I	1079	23298055
	date	close
	24-Apr-07	93.24
	25-Apr-07	95.35
	26-Apr-07	98.84
	27-Apr-07	99.92
	30-Apr-07	99.80
	1-May-07	99.47
	2-May-07	100.39
	3-May-07	100.40
	4-May-07	100.81