diff --git a/7_ifc/py/742_jupyter/stp10.ipynb b/7_ifc/py/742_jupyter/stp10.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..87447e6b8e5b4d05aebdbf60c533936b96df31ed
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+++ b/7_ifc/py/742_jupyter/stp10.ipynb
@@ -0,0 +1,471 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1.0\n",
+       "1    3.0\n",
+       "2    5.0\n",
+       "3    NaN\n",
+       "4    6.0\n",
+       "5    8.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = pd.Series([1, 3, 5, np.nan, 6, 8])\n",
+    "s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',\n",
+       "               '2013-01-05', '2013-01-06'],\n",
+       "              dtype='datetime64[ns]', freq='D')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dates = pd.date_range('20130101', periods=6)\n",
+    "dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "      <th>D</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2013-01-01</th>\n",
+       "      <td>-1.480798</td>\n",
+       "      <td>1.254959</td>\n",
+       "      <td>-0.383303</td>\n",
+       "      <td>0.170942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-02</th>\n",
+       "      <td>-0.079949</td>\n",
+       "      <td>2.083594</td>\n",
+       "      <td>0.359603</td>\n",
+       "      <td>-0.987005</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-03</th>\n",
+       "      <td>0.304971</td>\n",
+       "      <td>-1.527081</td>\n",
+       "      <td>-0.804382</td>\n",
+       "      <td>-0.044026</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-04</th>\n",
+       "      <td>1.176118</td>\n",
+       "      <td>-1.795567</td>\n",
+       "      <td>0.610545</td>\n",
+       "      <td>1.622611</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-05</th>\n",
+       "      <td>-0.127968</td>\n",
+       "      <td>-0.256433</td>\n",
+       "      <td>0.810486</td>\n",
+       "      <td>-0.879474</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-06</th>\n",
+       "      <td>-0.492543</td>\n",
+       "      <td>-0.421961</td>\n",
+       "      <td>0.783574</td>\n",
+       "      <td>1.088608</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   A         B         C         D\n",
+       "2013-01-01 -1.480798  1.254959 -0.383303  0.170942\n",
+       "2013-01-02 -0.079949  2.083594  0.359603 -0.987005\n",
+       "2013-01-03  0.304971 -1.527081 -0.804382 -0.044026\n",
+       "2013-01-04  1.176118 -1.795567  0.610545  1.622611\n",
+       "2013-01-05 -0.127968 -0.256433  0.810486 -0.879474\n",
+       "2013-01-06 -0.492543 -0.421961  0.783574  1.088608"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(np.random.randn(6, 4), index=dates, columns=list('ABCD'))\n",
+    "df\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "      <th>D</th>\n",
+       "      <th>E</th>\n",
+       "      <th>F</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-01-02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>test</td>\n",
+       "      <td>foo</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-01-02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>train</td>\n",
+       "      <td>foo</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-01-02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>test</td>\n",
+       "      <td>foo</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-01-02</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>train</td>\n",
+       "      <td>foo</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     A          B    C  D      E    F\n",
+       "0  1.0 2013-01-02  1.0  3   test  foo\n",
+       "1  1.0 2013-01-02  1.0  3  train  foo\n",
+       "2  1.0 2013-01-02  1.0  3   test  foo\n",
+       "3  1.0 2013-01-02  1.0  3  train  foo"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2 = pd.DataFrame({'A': 1.,\n",
+    "                    'B': pd.Timestamp('20130102'),\n",
+    "                    'C': pd.Series(1, index=list(range(4)), dtype='float32'),\n",
+    "                    'D': np.array([3] * 4, dtype='int32'),\n",
+    "                    'E': pd.Categorical([\"test\", \"train\", \"test\", \"train\"]),\n",
+    "                    'F': 'foo'})\n",
+    "df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "      <th>D</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2013-01-01</th>\n",
+       "      <td>-1.480798</td>\n",
+       "      <td>1.254959</td>\n",
+       "      <td>-0.383303</td>\n",
+       "      <td>0.170942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-02</th>\n",
+       "      <td>-0.079949</td>\n",
+       "      <td>2.083594</td>\n",
+       "      <td>0.359603</td>\n",
+       "      <td>-0.987005</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   A         B         C         D\n",
+       "2013-01-01 -1.480798  1.254959 -0.383303  0.170942\n",
+       "2013-01-02 -0.079949  2.083594  0.359603 -0.987005"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(2)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "      <th>D</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2013-01-04</th>\n",
+       "      <td>1.176118</td>\n",
+       "      <td>-1.795567</td>\n",
+       "      <td>0.610545</td>\n",
+       "      <td>1.622611</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-05</th>\n",
+       "      <td>-0.127968</td>\n",
+       "      <td>-0.256433</td>\n",
+       "      <td>0.810486</td>\n",
+       "      <td>-0.879474</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-06</th>\n",
+       "      <td>-0.492543</td>\n",
+       "      <td>-0.421961</td>\n",
+       "      <td>0.783574</td>\n",
+       "      <td>1.088608</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   A         B         C         D\n",
+       "2013-01-04  1.176118 -1.795567  0.610545  1.622611\n",
+       "2013-01-05 -0.127968 -0.256433  0.810486 -0.879474\n",
+       "2013-01-06 -0.492543 -0.421961  0.783574  1.088608"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.tail(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',\n",
+       "               '2013-01-05', '2013-01-06'],\n",
+       "              dtype='datetime64[ns]', freq='D')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.index\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['A', 'B', 'C', 'D'], dtype='object')"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "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": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}