diff --git a/Tutorials/IntroToPython.ipynb b/Tutorials/IntroToPython.ipynb
index 991f258..f69abbd 100644
--- a/Tutorials/IntroToPython.ipynb
+++ b/Tutorials/IntroToPython.ipynb
@@ -2311,6 +2311,139 @@
     "func()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Import\n",
+    "\n",
+    "<br>\n",
+    "\n",
+    "In Python, you can import libraries (also known as packages or modules) that can extend functionality of your code. Libraries contain pre-written code(such as classes and functions) that you can simply use in your code by importinhg without writing any additional code. \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In fact, this notebook incorporates common Python libraries like **math** and **random**, which provide a diverse range of functionalities including advanced mathematical computation techniques and the generation of pseudo-random numbers."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To import a library, simply use the **import** keyword followed by the name of the library. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import math\n",
+    "import random"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "After importing the library, you can use its functions and classes in your code as required. A common way to do this is by using the dot notation which looks something like this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n"
+     ]
+    }
+   ],
+   "source": [
+    "randomn_number = random.randint(1,10)\n",
+    "print(randomn_number)\n",
+    "\n",
+    "# randint is the function we are using from the random library."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This method imports the entire library. To import a specific class or function, use the following structure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The square root of 25 is 5.0.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from math import sqrt\n",
+    "\n",
+    "square_root = sqrt(25)\n",
+    "print(f'The square root of 25 is {square_root}.')\n",
+    "\n",
+    "# Import only the sqrt function from the math library. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also import libraries with aliases, which allows you to refer to them with shorter names. This can be done in the following way:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Array created with numpy: [1 2 3 4 5]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np # Using the numpy library with alias np so no need to write numpy in your code.\n",
+    "\n",
+    "array = np.array([1, 2, 3, 4, 5])\n",
+    "print(\"Array created with numpy:\", array)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Aliases are mostly used when the library name is too long or if the library is mentioned often in the code as aliases makes the code more concise and readable. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There are plenty of libraries you can use in python so feel free to explore different libraries and use their documentation to understand how they work. This [website](https://flexiple.com/python/python-libraries) consists of 90+ libraries that can be imported in python but this list is not by any means complete. "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2411,16 +2544,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "- Add in how to import and use libraries (we are doing this implicitly all over the place but we should have some explicit examples of how to do this)\n",
     "- The ml4a page has an \"Intro to Python\" Jupyter Notebook--skim it to see if there is anything relevant to pull over into this notebook"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -2439,7 +2564,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.10.12"
   },
   "toc": {
    "base_numbering": 1,