diff --git a/.ipynb_checkpoints/work_2018.01.17.1-checkpoint.ipynb b/.ipynb_checkpoints/work_2018.01.17.1-checkpoint.ipynb
new file mode 100644
index 0000000..bb39268
--- /dev/null
+++ b/.ipynb_checkpoints/work_2018.01.17.1-checkpoint.ipynb
@@ -0,0 +1,52 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# import the needed packages\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from pandas.plotting import scatter_matrix\n",
+    "from itertools import combinations\n",
+    "\n",
+    "# from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.model_selection import cross_val_score\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# read in the data from csv file\n",
+    "df = pd.read_csv('loan.na.csv', index_col=0)\n",
+    "df.info()               # handy way to check if all of the fields are present\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/work_2018.01.17.1.ipynb b/work_2018.01.17.1.ipynb
new file mode 100644
index 0000000..ed4211c
--- /dev/null
+++ b/work_2018.01.17.1.ipynb
@@ -0,0 +1,673 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 400 entries, 0 to 399\n",
+      "Data columns (total 4 columns):\n",
+      "admit    400 non-null int64\n",
+      "gre      400 non-null int64\n",
+      "gpa      400 non-null float64\n",
+      "rank     400 non-null int64\n",
+      "dtypes: float64(1), int64(3)\n",
+      "memory usage: 12.6 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# import the needed packages\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from pandas.plotting import scatter_matrix\n",
+    "from itertools import combinations\n",
+    "\n",
+    "# from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.model_selection import cross_val_score\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# read in the data from csv file\n",
+    "df = pd.read_csv('grad.csv')\n",
+    "# df = pd.read_csv('grad.csv', index_col=0)\n",
+    "df.info()               # handy way to check if all of the fields are present\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>admit</th>\n",
+       "      <th>gre</th>\n",
+       "      <th>gpa</th>\n",
+       "      <th>rank</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>380</td>\n",
+       "      <td>3.61</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>660</td>\n",
+       "      <td>3.67</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>800</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>640</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>520</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   admit  gre   gpa  rank\n",
+       "0      0  380  3.61     3\n",
+       "1      1  660  3.67     3\n",
+       "2      1  800  4.00     1\n",
+       "3      1  640  3.19     4\n",
+       "4      0  520  2.93     4"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# A quick look at the top rows of the data table\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>admit</th>\n",
+       "      <th>gre</th>\n",
+       "      <th>gpa</th>\n",
+       "      <th>rank</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>400.000000</td>\n",
+       "      <td>400.000000</td>\n",
+       "      <td>400.000000</td>\n",
+       "      <td>400.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.317500</td>\n",
+       "      <td>587.700000</td>\n",
+       "      <td>3.389900</td>\n",
+       "      <td>2.48500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.466087</td>\n",
+       "      <td>115.516536</td>\n",
+       "      <td>0.380567</td>\n",
+       "      <td>0.94446</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>220.000000</td>\n",
+       "      <td>2.260000</td>\n",
+       "      <td>1.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>520.000000</td>\n",
+       "      <td>3.130000</td>\n",
+       "      <td>2.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>580.000000</td>\n",
+       "      <td>3.395000</td>\n",
+       "      <td>2.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>660.000000</td>\n",
+       "      <td>3.670000</td>\n",
+       "      <td>3.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.00000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            admit         gre         gpa       rank\n",
+       "count  400.000000  400.000000  400.000000  400.00000\n",
+       "mean     0.317500  587.700000    3.389900    2.48500\n",
+       "std      0.466087  115.516536    0.380567    0.94446\n",
+       "min      0.000000  220.000000    2.260000    1.00000\n",
+       "25%      0.000000  520.000000    3.130000    2.00000\n",
+       "50%      0.000000  580.000000    3.395000    2.00000\n",
+       "75%      1.000000  660.000000    3.670000    3.00000\n",
+       "max      1.000000  800.000000    4.000000    4.00000"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>gpa</th>\n",
+       "      <th>2.26</th>\n",
+       "      <th>2.42</th>\n",
+       "      <th>2.48</th>\n",
+       "      <th>2.52</th>\n",
+       "      <th>2.55</th>\n",
+       "      <th>2.56</th>\n",
+       "      <th>2.62</th>\n",
+       "      <th>2.63</th>\n",
+       "      <th>2.65</th>\n",
+       "      <th>2.67</th>\n",
+       "      <th>...</th>\n",
+       "      <th>3.9</th>\n",
+       "      <th>3.91</th>\n",
+       "      <th>3.92</th>\n",
+       "      <th>3.93</th>\n",
+       "      <th>3.94</th>\n",
+       "      <th>3.95</th>\n",
+       "      <th>3.97</th>\n",
+       "      <th>3.98</th>\n",
+       "      <th>3.99</th>\n",
+       "      <th>4.0</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>admit</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 132 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "gpa    2.26  2.42  2.48  2.52  2.55  2.56  2.62  2.63  2.65  2.67  ...   3.90  \\\n",
+       "admit                                                              ...          \n",
+       "0         1     1     1     1     1     1     1     1     0     1  ...      2   \n",
+       "1         0     1     0     0     0     0     1     0     1     1  ...      1   \n",
+       "\n",
+       "gpa    3.91  3.92  3.93  3.94  3.95  3.97  3.98  3.99  4.00  \n",
+       "admit                                                        \n",
+       "0         1     2     1     4     1     1     0     2    15  \n",
+       "1         0     0     0     1     4     0     1     1    13  \n",
+       "\n",
+       "[2 rows x 132 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.crosstab(df.admit,df.gpa)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>gre</th>\n",
+       "      <th>220</th>\n",
+       "      <th>300</th>\n",
+       "      <th>340</th>\n",
+       "      <th>360</th>\n",
+       "      <th>380</th>\n",
+       "      <th>400</th>\n",
+       "      <th>420</th>\n",
+       "      <th>440</th>\n",
+       "      <th>460</th>\n",
+       "      <th>480</th>\n",
+       "      <th>...</th>\n",
+       "      <th>620</th>\n",
+       "      <th>640</th>\n",
+       "      <th>660</th>\n",
+       "      <th>680</th>\n",
+       "      <th>700</th>\n",
+       "      <th>720</th>\n",
+       "      <th>740</th>\n",
+       "      <th>760</th>\n",
+       "      <th>780</th>\n",
+       "      <th>800</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>admit</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8</td>\n",
+       "      <td>10</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>18</td>\n",
+       "      <td>16</td>\n",
+       "      <td>12</td>\n",
+       "      <td>11</td>\n",
+       "      <td>17</td>\n",
+       "      <td>8</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>...</td>\n",
+       "      <td>12</td>\n",
+       "      <td>5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 26 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "gre    220  300  340  360  380  400  420  440  460  480 ...   620  640  660  \\\n",
+       "admit                                                   ...                   \n",
+       "0        1    2    3    4    8    9    7    8   10   10 ...    18   16   12   \n",
+       "1        0    1    1    0    0    2    0    2    4    6 ...    12    5   12   \n",
+       "\n",
+       "gre    680  700  720  740  760  780  800  \n",
+       "admit                                     \n",
+       "0       11   17    8    7    1    1   14  \n",
+       "1        9    5    3    4    4    4   11  \n",
+       "\n",
+       "[2 rows x 26 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.crosstab(df.admit,df.gre)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method NDFrame.rank of      admit  gre   gpa  rank\n",
+       "0        0  380  3.61     3\n",
+       "1        1  660  3.67     3\n",
+       "2        1  800  4.00     1\n",
+       "3        1  640  3.19     4\n",
+       "4        0  520  2.93     4\n",
+       "5        1  760  3.00     2\n",
+       "6        1  560  2.98     1\n",
+       "7        0  400  3.08     2\n",
+       "8        1  540  3.39     3\n",
+       "9        0  700  3.92     2\n",
+       "10       0  800  4.00     4\n",
+       "11       0  440  3.22     1\n",
+       "12       1  760  4.00     1\n",
+       "13       0  700  3.08     2\n",
+       "14       1  700  4.00     1\n",
+       "15       0  480  3.44     3\n",
+       "16       0  780  3.87     4\n",
+       "17       0  360  2.56     3\n",
+       "18       0  800  3.75     2\n",
+       "19       1  540  3.81     1\n",
+       "20       0  500  3.17     3\n",
+       "21       1  660  3.63     2\n",
+       "22       0  600  2.82     4\n",
+       "23       0  680  3.19     4\n",
+       "24       1  760  3.35     2\n",
+       "25       1  800  3.66     1\n",
+       "26       1  620  3.61     1\n",
+       "27       1  520  3.74     4\n",
+       "28       1  780  3.22     2\n",
+       "29       0  520  3.29     1\n",
+       "..     ...  ...   ...   ...\n",
+       "370      1  540  3.77     2\n",
+       "371      1  680  3.76     3\n",
+       "372      1  680  2.42     1\n",
+       "373      1  620  3.37     1\n",
+       "374      0  560  3.78     2\n",
+       "375      0  560  3.49     4\n",
+       "376      0  620  3.63     2\n",
+       "377      1  800  4.00     2\n",
+       "378      0  640  3.12     3\n",
+       "379      0  540  2.70     2\n",
+       "380      0  700  3.65     2\n",
+       "381      1  540  3.49     2\n",
+       "382      0  540  3.51     2\n",
+       "383      0  660  4.00     1\n",
+       "384      1  480  2.62     2\n",
+       "385      0  420  3.02     1\n",
+       "386      1  740  3.86     2\n",
+       "387      0  580  3.36     2\n",
+       "388      0  640  3.17     2\n",
+       "389      0  640  3.51     2\n",
+       "390      1  800  3.05     2\n",
+       "391      1  660  3.88     2\n",
+       "392      1  600  3.38     3\n",
+       "393      1  620  3.75     2\n",
+       "394      1  460  3.99     3\n",
+       "395      0  620  4.00     2\n",
+       "396      0  560  3.04     3\n",
+       "397      0  460  2.63     2\n",
+       "398      0  700  3.65     2\n",
+       "399      0  600  3.89     3\n",
+       "\n",
+       "[400 rows x 4 columns]>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.rank"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}