KramKroc

from gpiozero import LED, Button
from time import sleep

red_led = LED(4)
yellow_led = LED(17)
blue_led = LED(23)
button = Button(25)

yellow_led.blink()

KramKroc

from mcpi.minecraft import Minecraft
from gpiozero import LED

mc = Minecraft.create()
led = LED(4)

# blocks
redstone_ore = 73

while True:

KramKroc

from mcpi.minecraft import Minecraft
from time import sleep
from gpiozero import LED, Button

mc = Minecraft.create()
led = LED(4)
button = Button(25)
start = mc.player.getTilePos()

while True:

KramKroc

from mcpi.minecraft import Minecraft
from time import sleep
from gpiozero import RGBLED

mc = Minecraft.create()
rgbled = RGBLED(26,19,13)

# block
grass = 2
ice = 9

KramKroc

from sense_hat import SenseHat
from time import sleep

sense = SenseHat()
sense.set_rotation(270)

sense.show_message("Hello from Coderdojo Banbridge!", 0.05)

r = (255,0,0)
g = (0,255,0)

KramKroc

import ephem
import time

iss = ephem.readtle("ISS (ZARYA)",
    "1 25544U 98067A   17317.62840120  .00004117  00000-0  69389-4 0  9994",
    "2 25544  51.6432  13.3344 0004461 113.6331  45.1344 15.54138509 84996")

while True:
    iss.compute(ephem.now())
    print("Current position: %s, %s In darkness: %s" % (iss.sublat / ephem.degree, iss.sublong / ephem.degree, iss.eclipsed))

KramKroc

import io
import time
import picamera
from PIL import Image
from PIL import ImageStat

stream = io.BytesIO()
with picamera.PiCamera() as camera:
    camera.start_preview()
    time.sleep(2)

KramKroc

import csv
import datetime as dt
from random import randint
from time import sleep

time_format = "%Y-%m-%d-%H-%M-%S"

with open('/home/pi/results.csv', 'w') as csvfile: # open the file for writing
    fieldnames = ['time', 'lat', 'long', 'photo', 'lux'] # the different elements we store in each row
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames) # create writer with fields

KramKroc

import csv
from time import sleep

with open('/home/pi/results.csv') as csvfile:
    fieldnames = ['time', 'lat', 'long', 'photo', 'lux'] # Same fields we wrote to the file
    reader = csv.DictReader(csvfile, fieldnames=fieldnames)
    next(reader) # this lets us skip the header row 
    for row in reader:
         print(row['lux']) # here we are just interested in the lux column 

KramKroc