Unitoi01

import RPi.GPIO as GPIO
import time
import sys

GPIO.setmode(GPIO.BCM)

GPIO.setup(14, GPIO.IN, pull_up_down=GPIO.PUD_UP)

while True:

Unitoi01

 sudo apt-get update
   sudo apt-get install libusb-dev
   git clone https://github.com/codazoda/hub-ctrl.c
   cd hub-ctrl.c
   gcc -o hub-ctrl hub-ctrl.c -lusb
   cp hub-ctrl ..
   cd ..

Unitoi01

import random
import time

def shuffleRead():
        first=True
        count=0
        f=open('output.txt', 'r+')
        lines= f.readlines()
        if(first==True):
            first=False;

Unitoi01

import random
import time

def prepareMessage(messageRaw):
    words_list = messageRaw.split()
    lineLength = 0
    message = ''
    for word in words_list:
        if(lineLength == 0):
            message = message + word

Unitoi01

#!/usr/bin/python2

import RPi.GPIO as GPIO
import time
import os

GPIO.setmode(GPIO.BCM)
buttonPin = 4
lightPin=3
GPIO.setup(buttonPin, GPIO.IN,pull_up_down=GPIO.PUD_UP)

Unitoi01

public static void main(String[] args){
int[] myIntArray = new int[1,2,3,4,5,6,7,8];
int ans= 0;

for(int i=0; i<myIntArray.length; i++){
  if(myIntArray[i]%2=0){
      ans++;
  }
}
System.out.println("There are"+ ans+" "+"even numbers

Unitoi01

myIntArray= [1,2,3,4,5,6,7,8]
ans=0
#pound signs are to comment, also there are no arrays in Python, only lists! Which are better
for i in range(len(myIntArray)):
    if(myIntArray[i]%2=0):
        ans=ans+1
        
        
        
        

Unitoi01

class Node:
#1
    def __init__(self, val):
        self.val = val
        self.leftChild = None
        self.rightChild = None
#2  
    def get(self):
        return self.val

Unitoi01

class BST:
#1
    def __init__(self):
        self.root = None
#2
    def setRoot(self, val):
        self.root = Node(val)
#3
    def insert(self, val):
        if(self.root is None):

Unitoi01

import numpy as np 
import cv2 as cv
import math


face_cascade= cv.CascadeClassifier('C:\Program Files\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml')
#direct path to the haarcascade, which is included in openCV
pic= cv.imread('face.jpg')
#the path to one image that OpenCV will convert to a numpy array
gray= cv.imread('face.jpg,0)