Fixes for slides for session 3

Author: lumbric

session3_scientific_ecosystem/slides_session3.ipynb

@@ -215,7 +215,7 @@
     }
    },
    "source": [
-    "<img src=\"images/optimization.png\" style=\"600px\">"
+    "<img src=\"images/optimization.png\" style=\"height:700px;\">"
    ]
   },
   {
@@ -1148,7 +1148,9 @@
     }
    },
    "source": [
-    "# Buy faster hardware"
+    "# Buy faster hardware\n",
+    "\n",
+    "Okay, that one is easy, you need only enough money!"
    ]
   },
   {
@@ -1159,8 +1161,6 @@
     }
    },
    "source": [
-    "Okay, that one is easy, you need only enough money!\n",
-    "\n",
     "<img src=\"images/lotto.jpg\" style=\"width:800px\">"
    ]
   },
@@ -1315,6 +1315,7 @@
     }
    },
    "source": [
+    "<small><pre>\n",
     "    L1 cache reference                           0.5 ns\n",
     "    Branch mispredict                            5   ns\n",
     "    L2 cache reference                           7   ns                      14x L1 cache\n",
@@ -1334,7 +1335,8 @@
     "    -----\n",
     "    1 ns = 10^-9 seconds\n",
     "    1 us = 10^-6 seconds = 1,000 ns\n",
-    "    1 ms = 10^-3 seconds = 1,000 us = 1,000,000 ns"
+    "    1 ms = 10^-3 seconds = 1,000 us = 1,000,000 ns\n",
+    "<pre></small>"
    ]
   },
   {
@@ -2407,7 +2409,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
    "source": [
     "# Numpy: this is how you make things fast!"
    ]
@@ -3245,7 +3251,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
    "source": [
     "# Exercise\n",
     "\n",
@@ -3287,7 +3297,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
    "source": [
     "# Exercise: solution"
    ]
@@ -3343,7 +3357,11 @@
   {
    "cell_type": "code",
    "execution_count": 88,
-   "metadata": {},
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
    "outputs": [],
    "source": [
     "# axis=0 <-- canvas x\n",