rkrishnasanka

dispatch_queue_t queue = dispatch_get_global_queue(
                                                       DISPATCH_QUEUE_PRIORITY_DEFAULT, 0);
    dispatch_async(queue, ^{
      
         //any thing

        
    });

//ref

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void explode(String message)
{
  int count = 0;
  do
  {
      commaPosition = message.indexOf(':');
      if(commaPosition != -1)
      {
          Serial.println( message.substring(0,commaPosition));
          

rkrishnasanka

#include <Servo.h>

Servo servo1;
Servo servo2;
float theta1;
float theta2;
int pot1 = 0;
int pot2 = 1;

void setup() {

rkrishnasanka

int buf = 0;
int xcoordinate = 0;
int ycoordinate = 0;

void setup()
{
    // start serial port at 9600 bps and wait for port to open:
    Serial.begin(115200);
}

rkrishnasanka

# Back-Propagation Neural Networks
# 
# Written in Python.  See http://www.python.org/
# Placed in the public domain.
# Neil Schemenauer <[email protected]>

import math
import random
import string

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import urllib
import smtplib
import time
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from random import randint

def sendemail(session,me,you,subject,html):
    # Create message container - the correct MIME type is multipart/alternative.

rkrishnasanka

# Written by Raul Aguaviva as an exercise
# beware not optimized for speed :-)

from struct import *
import math 

zigzag = [0,  1,  8, 16,  9,  2,  3, 10,
        17, 24, 32, 25, 18, 11,  4,  5,
        12, 19, 26, 33, 40, 48, 41, 34,
        27, 20, 13,  6,  7, 14, 21, 28,

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#define POLY 0x8408 /* bits reversed for LSB-first */
unsigned short crc = 0xffff;
while (len-- > 0) {
unsigned char ch = *bufp++;
for (i = 0; i < 8; i++) {
crc = (crc >> 1) ˆ ( ((ch ˆ crc) & 0x01) ? POLY : 0 );
ch >>= 1;
}
}

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                        Walter Bright's MEM Package
                        ---------------------------


PREFACE:
--------

The files, MEM.H and MEM.C which constitute the MEM package were originally
published in the March-April 1990 edition of Micro Cornucopia magazine, now
sadly out of print.  The files as they appear in SNIPPETS have been edited

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import numpy as np

def run():
    # create a column vector
    col_vec = np.array([[1], [2]])
    print "column vector"
    print col_vec
    
    # create a row vector
    row_vec = np.array([[1, 2]])