Add note about execution time varying by machine

gforsyth · gforsyth · commit 152bd144d164 · 2018-07-11T10:27:27.000-04:00
diff --git a/lessons/06_Array_Operations_with_NumPy.ipynb b/lessons/06_Array_Operations_with_NumPy.ipynb
@@ -47,9 +47,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import numpy"
@@ -58,9 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -91,9 +87,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -124,9 +118,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "nx = 81\n",
@@ -155,15 +147,15 @@
    "source": [
     "With our initial conditions all set up, let's first try running our original nested loop code, making use of the iPython \"magic\" function `%%timeit`, which will help us evaluate the performance of our code. \n",
     "\n",
-    "**Note**: The `%%timeit` magic function will run the code several times and then give an average execution time as a result.  If you have any figures being plotted within a cell where you run `%%timeit`, it will plot those figures repeatedly which can be a bit messy. "
+    "**Note**: The `%%timeit` magic function will run the code several times and then give an average execution time as a result.  If you have any figures being plotted within a cell where you run `%%timeit`, it will plot those figures repeatedly which can be a bit messy. \n",
+    "\n",
+    "The execution times below will vary from machine to machine.  Don't expect your times to match these times, but you _should_ expect to see the same general trend in decreasing execution time as we switch to array operations."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -203,9 +195,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -240,9 +230,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -365,9 +353,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
