Burn Image using Windows 
Its easy as easy using click and click when using a win32DiskImager.
What you needs :
  • Windows operating system 
  • Win32DiskImager
Lets start
Open the Win32DiskImager (here you can download this tool)
  1. Select the image  cubePI (or download it here)
  2. choose the drive where your destination sdcard is mount (can be d: or e: depending on your computer)                                                            note : remember to choose the right device, because it will erase all your destination drive!!
  3. Click the write button, and wait until complete.
  4. Done! mount your sdcard to your PI, and you ready to go..!




    Burn Image Using Linux
    It more dificult when you burn with this tool, because this is only a command line.
    You need to know where your sdcard is mounted on your system, can be a fatal lost if your wrong select the destination write on dd.
    Always to double check the destination drive of your sdcard before it will erase all the data on your destination.

    1. run df -ah to find the sdcard is mounted
    the output will look like this.

    linux@ubuntu:~$ df
    Filesystem     1K-blocks     Used Available Use% Mounted on
    /dev/loop0      25948028 13156440  11473496  54% /
    udev             1018844        4   1018840   1% /dev
    tmpfs             410444      872    409572   1% /run
    none                5120        0      5120   0% /run/lock
    /dev/sda6       42074200 35229872   6844328  84% /host
    none             1026108        0   1026108   0% /run/shm
    /dev/mmcblk0     1946896        4   1946892   1% /media/mysdhc

    2. unmount the sdcard with umount 
        
    umount /media/mysdhc

        (don't forget to choose the right drive!)

    3. Format the sdcard using fat32
     
    sudo mkdosfs -F 32 -v /dev/mmcblk0


    4. now the hardest one
     
    sudo dd bs=1M if="/home/linux/2013-02-09-wheezy-raspbian.img" of=/dev/mmcblk0


    When its complete the procedure, mount your sdcard to your RAspberry PI, and you are ready to run it  on your Raspberry PI