Update benchmarking.ipynb

Author: mrzkp

examples/benchmarking.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,7 +22,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The goal of this notebook is to demonstrate the Benchmarking feature offered for Prognostic Models. Specifically, we will demonstrate how to benchmark the computational efficiency of models with a simple example."
+    "The goal of this notebook is to demonstrate the Benchmarking feature offered for Prognostic Models. Specifically, we will demonstrate via a simple example how to benchmark the computational efficiency of models!"
    ]
   },
   {
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -56,12 +56,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Next, let's initialize our Battery Circuit by creating a model object."
+    "Next, let's initialize our Battery Circuit by creating model object."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +74,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Then, for our model, we will need to define a future loading function. More information on what a future loading function is and how to use it can be found here: https://nasa.github.io/progpy/prog_models_guide.html#future-loading"
+    "Then, for our model, we would need to define a future loading function. More information on what a future loading function is and how to use it can be found here: https://nasa.github.io/progpy/prog_models_guide.html#future-loading"
    ]
   },
   {
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -103,21 +103,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-<<<<<<< Updated upstream
-    "Since this is a simple example, we are going to have a constant loading!"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finally, we are ready to benchmark the simulation.\n",
-=======
     "Finally, we are going to need to benchmark the simulation!\n",
->>>>>>> Stashed changes
     "\n",
-    "We can do this by using the `timeit()` function and pass in our `simulate_to()` or `simulate_to_threshold()` function for the `stmt` argument. For more information regarding the `timeit()` function, please read its documentation located here: https://docs.python.org/3/library/timeit.html"
+    "We can do this by using the `timeit()` function and pass in our `simulate_to()` or `simulate_to_threshold()` function for the `stmt` argument. For more information regarding the `timeit()` function, please read it's documentation located here: https://docs.python.org/3/library/timeit.html"
    ]
   },
   {
@@ -137,7 +125,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this example, we are benchmarking the simulation for the BatteryCircuit model up to 600 seconds. Furthermore, we define our `number` argument to be 500 for sake of runtime."
+    "In this example, we would be benchmarking the simulation for the BatteryCircuit model up to 600 seconds. Furthermore, we will define our `number` argument to be 500 for sake of runtime."
    ]
   },
   {