Ending code cells with a semicolon.

Author: eli-b

Chapter4_TheGreatestTheoremNeverTold/LawOfLargeNumbers.ipynb

@@ -110,7 +110,7 @@
       "expected value\" )\n",
       "plt.ylabel(\"average of $n$ samples\")\n",
       "plt.xlabel(\"# of samples, $n$\")\n",
-      "plt.legend()\n"
+      "plt.legend();"
      ],
      "language": "python",
      "metadata": {},
@@ -185,7 +185,7 @@
       "plt.plot(N_array, np.sqrt(expected_value) / np.sqrt(N_array), lw=2, ls=\"--\",\n",
       "         label=r\"$\\frac{\\sqrt{\\lambda}}{\\sqrt{N}}$\")\n",
       "plt.legend()\n",
-      "plt.title(\"How 'fast' is the sample average converging? \")\n"
+      "plt.title(\"How 'fast' is the sample average converging? \");"
      ],
      "language": "python",
      "metadata": {},
@@ -244,7 +244,7 @@
      "input": [
       "import pymc as pm\n",
       "N = 10000\n",
-      "print np.mean([pm.rexponential(0.5) > 10 for i in range(N)])\n"
+      "print np.mean([pm.rexponential(0.5) > 10 for i in range(N)]);"
      ],
      "language": "python",
      "metadata": {},
@@ -333,7 +333,7 @@
       "plt.ylabel(\"Average height in county\")\n",
       "plt.plot([100, 1500], [150, 150], color=\"k\", label=\"true expected \\\n",
       "height\", ls=\"--\")\n",
-      "plt.legend(scatterpoints=1)\n"
+      "plt.legend(scatterpoints=1);"
      ],
      "language": "python",
      "metadata": {},
@@ -366,7 +366,7 @@
       "print population[np.argsort(average_across_county)[:10]]\n",
       "print\n",
       "print \"Population sizes of 10 'tallest' counties: \"\n",
-      "print population[np.argsort(-average_across_county)[:10]]\n"
+      "print population[np.argsort(-average_across_county)[:10]];"
      ],
      "language": "python",
      "metadata": {},
@@ -419,7 +419,7 @@
       "            edgecolors=\"#A60628\", linewidths=1.5,\n",
       "            label=\"most extreme points\")\n",
       "\n",
-      "plt.legend(scatterpoints=1)\n"
+      "plt.legend(scatterpoints=1);"
      ],
      "language": "python",
      "metadata": {},
@@ -498,7 +498,7 @@
       "# adding a number to the end of the %run call with get the ith top photo.\n",
       "%run top_pic_comments.py 2\n",
       "\n",
-      "Image(top_post_url)\n"
+      "Image(top_post_url);"
      ],
      "language": "python",
      "metadata": {},
@@ -537,7 +537,7 @@
       "for i in comments:\n",
       "    print '\"' + contents[i] + '\"'\n",
       "    print\"upvotes/downvotes: \", votes[i, :]\n",
-      "    print\n"
+      "    print;"
      ],
      "language": "python",
      "metadata": {},
@@ -596,7 +596,7 @@
       "    map_ = pm.MAP([upvote_ratio, observations]).fit()\n",
       "    mcmc = pm.MCMC([upvote_ratio, observations])\n",
       "    mcmc.sample(samples, samples / 4)\n",
-      "    return mcmc.trace(\"upvote_ratio\")[:]\n"
+      "    return mcmc.trace(\"upvote_ratio\")[:];"
      ],
      "language": "python",
      "metadata": {},
@@ -628,7 +628,7 @@
       "\n",
       "plt.legend(loc=\"upper left\")\n",
       "plt.xlim(0, 1)\n",
-      "plt.title(\"Posterior distributions of upvote ratios on different comments\")\n"
+      "plt.title(\"Posterior distributions of upvote ratios on different comments\");"
      ],
      "language": "python",
      "metadata": {},
@@ -695,7 +695,7 @@
       "plt.legend(loc=\"upper left\")\n",
       "plt.title(\"Posterior distributions of upvote ratios on different comments\")\n",
       "order = np.argsort(-np.array(lower_limits))\n",
-      "print order, lower_limits\n"
+      "print order, lower_limits;"
      ],
      "language": "python",
      "metadata": {},
@@ -767,7 +767,7 @@
       "for i in order[:40]:\n",
       "    ordered_contents.append(contents[i])\n",
       "    print votes[i, 0], votes[i, 1], contents[i]\n",
-      "    print \"-------------\"\n"
+      "    print \"-------------\";"
      ],
      "language": "python",
      "metadata": {},
@@ -906,7 +906,7 @@
       "             color=\"#7A68A6\")\n",
       "plt.xlim(0.3, 1)\n",
       "plt.yticks(np.arange(len(r_order) - 1, -1, -1),\n",
-      "           map(lambda x: x[:30].replace(\"\\n\", \"\"), ordered_contents))\n"
+      "           map(lambda x: x[:30].replace(\"\\n\", \"\"), ordered_contents));"
      ],
      "language": "python",
      "metadata": {},
@@ -1020,7 +1020,7 @@
       "exp = stats.expon(scale=4)\n",
       "N = 1e5\n",
       "X = exp.rvs(N)\n",
-      "# ...\n"
+      "# ...;"
      ],
      "language": "python",
      "metadata": {},
@@ -1101,7 +1101,7 @@
       "def css_styling():\n",
       "    styles = open(\"../styles/custom.css\", \"r\").read()\n",
       "    return HTML(styles)\n",
-      "css_styling()\n"
+      "css_styling();"
      ],
      "language": "python",
      "metadata": {},