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   "source": [
    "# StringIO Objects and the io Module\n",
    "\n",
    "Back in **Lecture 24 - Files** we opened files that exist outside of python, and streamed their contents into an in-memory file object. You can also create in-memory file-like objects within your program that Python treats the same way. Text data is stored in a StringIO object, while binary data would be stored in a BytesIO object. This object can then be used as input or output to most functions that would expect a standard file object.\n",
    "\n",
    "Let's investigate StringIO objects. The best way to show this is by example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Arbitrary String\n",
    "message = 'This is just a normal string.'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use StringIO method to set as file object\n",
    "f = io.StringIO(message)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have an object *f* that we will be able to treat just like a file. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This is just a normal string.'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.read()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also write to it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.write(' Second line written to file like object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reset cursor just like you would a file\n",
    "f.seek(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This is just a normal string. Second line written to file like object'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read again\n",
    "f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Close the object when contents are no longer needed\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great! Now you've seen how we can use StringIO to turn normal strings into in-memory file objects in our code. This kind of action has various use cases, especially in web scraping cases where you want to read some string you scraped as a file.\n",
    "\n",
    "For more info on StringIO check out the documentation: https://docs.python.org/3/library/io.html"
   ]
  }
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