From 204c678bf0bcdeca877c267dbee5c358a83bab4c Mon Sep 17 00:00:00 2001
From: Mgbako John <jmgbako>
Date: Fri, 22 Feb 2019 14:04:05 +0100
Subject: [PATCH] corrected a typo on the document

---
 ...ion to Algorithm Analysis and Big O .ipynb | 32 +++++++------------
 1 file changed, 12 insertions(+), 20 deletions(-)

diff --git a/Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb b/Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb
index 0238db22..8a2d439c 100644
--- a/Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb	
+++ b/Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb	
@@ -17,9 +17,9 @@
     "\n",
     "Before we begin, let's clarify what an algorthim is. In this course, an **algorithm** is simply a procedure or formula for solving a problem. Some problems are famous enough that the algorithms have names, as well as some procdures being common enough that the algorithm associated with it also has a name. So now we have a good question we need to answer:\n",
     "\n",
-    "** *How do analyze algorithms and how can we compare algorithms against each other?* **\n",
+    "** *How do we analyze algorithms and how can we compare algorithms against each other?* **\n",
     "\n",
-    "Imagine if you and a friend both came up with functions to sum the numbers from 0 to N. How would you compare the functions and algorithms within the functions? Let's say you both cam up with these two seperate functions:"
+    "Imagine if you and a friend both came up with functions to sum the numbers from 0 to N. How would you compare the functions and algorithms within the functions? Let's say you both came up with these two seperate functions:"
    ]
   },
   {
@@ -45,9 +45,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -82,9 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -116,9 +112,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -136,9 +130,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -172,23 +164,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }