Expand chapter 1

learning/04 Testing.ipynb

@@ -29,14 +29,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "id": "d4082e07-c51f-46ba-9a5e-bf45c2c319ba",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<script id=\"asciicast-498583\" src=\"https://asciinema.org/a/498583.js\" async></script>\n"
+       "<div style=\"max-width:700px;margin:auto;\"><script id=\"asciicast-498583\" src=\"https://asciinema.org/a/498583.js\" async></script></div>\n"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -47,8 +47,8 @@
     }
    ],
    "source": [
-    "%%html\n",
-    "<script id=\"asciicast-498583\" src=\"https://asciinema.org/a/498583.js\" async></script>"
+    "%%html \n",
+    "<div style=\"max-width:700px;margin:auto;\"><script id=\"asciicast-498583\" src=\"https://asciinema.org/a/498583.js\" async></script></div>"
    ]
   },
   {
@@ -208,10 +208,19 @@
     "    return \" \".join([a, b, c / 2.0 + 3])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "0ba4802e-40e9-4cd5-8877-7a51ad2224b1",
+   "metadata": {},
+   "source": [
+    "## Testing Stochastic Code\n",
+    "\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2f53a760-c1b4-43bf-8774-54d2d9edc230",
+   "id": "38ce37fc-fd99-478b-9d34-6726af280bf0",
    "metadata": {},
    "outputs": [],
    "source": []

learning/assets/matplotlibrc.json

@@ -9,6 +9,6 @@
     "patch.edgecolor": "#eeeeee",
     "axes.titlesize": "x-large",
     "svg.fonttype": "path",
-    "figure.dpi": 100,
+    "figure.dpi": 110,
     "figure.figsize": [5,5]
 }