diff --git a/notebooks/01_intro_ex_1b_sol.ipynb b/notebooks/01_intro_ex_1b_sol.ipynb
index 3180256..b162a01 100644
--- a/notebooks/01_intro_ex_1b_sol.ipynb
+++ b/notebooks/01_intro_ex_1b_sol.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,9 +20,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2, 59520)\n"
+     ]
+    }
+   ],
    "source": [
     "# load figure as 2D array \n",
     "data = np.load('horse.npy')\n",
@@ -31,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -45,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -82,9 +90,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(-1.2, 1.2, -1.2, 1.2)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# create figure for the transformations\n",
     "plt.figure(figsize=(10.0,10.0),dpi=100,facecolor='lightgrey')\n",
diff --git a/notebooks/01_intro_ex_2_sol.ipynb b/notebooks/01_intro_ex_2_sol.ipynb
index 5a786cb..666dcf9 100644
--- a/notebooks/01_intro_ex_2_sol.ipynb
+++ b/notebooks/01_intro_ex_2_sol.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,9 +30,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
+      "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n",
+      "      dtype='object')\n",
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 303 entries, 0 to 302\n",
+      "Data columns (total 14 columns):\n",
+      " #   Column    Non-Null Count  Dtype  \n",
+      "---  ------    --------------  -----  \n",
+      " 0   age       303 non-null    int64  \n",
+      " 1   sex       303 non-null    int64  \n",
+      " 2   cp        303 non-null    int64  \n",
+      " 3   trestbps  303 non-null    int64  \n",
+      " 4   chol      303 non-null    int64  \n",
+      " 5   fbs       303 non-null    int64  \n",
+      " 6   restecg   303 non-null    int64  \n",
+      " 7   thalach   303 non-null    int64  \n",
+      " 8   exang     303 non-null    int64  \n",
+      " 9   oldpeak   303 non-null    float64\n",
+      " 10  slope     303 non-null    int64  \n",
+      " 11  ca        303 non-null    int64  \n",
+      " 12  thal      303 non-null    int64  \n",
+      " 13  target    303 non-null    int64  \n",
+      "dtypes: float64(1), int64(13)\n",
+      "memory usage: 33.3 KB\n",
+      "None\n",
+      "age           int64\n",
+      "sex           int64\n",
+      "cp            int64\n",
+      "trestbps      int64\n",
+      "chol          int64\n",
+      "fbs           int64\n",
+      "restecg       int64\n",
+      "thalach       int64\n",
+      "exang         int64\n",
+      "oldpeak     float64\n",
+      "slope         int64\n",
+      "ca            int64\n",
+      "thal          int64\n",
+      "target        int64\n",
+      "dtype: object\n"
+     ]
+    }
+   ],
    "source": [
     "# What is the number of columns and rows\n",
     "print(df.columns)\n",
@@ -42,9 +89,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
+      "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
+      "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
+      "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
+      "\n",
+      "   ca  thal  target  \n",
+      "0   0     1       1  \n",
+      "1   0     2       1  \n",
+      "2   0     2       1  \n"
+     ]
+    }
+   ],
    "source": [
     "# get first 3 lines\n",
     "print(df.head(3))"
@@ -52,9 +115,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              age         sex          cp    trestbps        chol         fbs  \\\n",
+      "count  303.000000  303.000000  303.000000  303.000000  303.000000  303.000000   \n",
+      "mean    54.366337    0.683168    0.966997  131.623762  246.264026    0.148515   \n",
+      "std      9.082101    0.466011    1.032052   17.538143   51.830751    0.356198   \n",
+      "min     29.000000    0.000000    0.000000   94.000000  126.000000    0.000000   \n",
+      "25%     47.500000    0.000000    0.000000  120.000000  211.000000    0.000000   \n",
+      "50%     55.000000    1.000000    1.000000  130.000000  240.000000    0.000000   \n",
+      "75%     61.000000    1.000000    2.000000  140.000000  274.500000    0.000000   \n",
+      "max     77.000000    1.000000    3.000000  200.000000  564.000000    1.000000   \n",
+      "\n",
+      "          restecg     thalach       exang     oldpeak       slope          ca  \\\n",
+      "count  303.000000  303.000000  303.000000  303.000000  303.000000  303.000000   \n",
+      "mean     0.528053  149.646865    0.326733    1.039604    1.399340    0.729373   \n",
+      "std      0.525860   22.905161    0.469794    1.161075    0.616226    1.022606   \n",
+      "min      0.000000   71.000000    0.000000    0.000000    0.000000    0.000000   \n",
+      "25%      0.000000  133.500000    0.000000    0.000000    1.000000    0.000000   \n",
+      "50%      1.000000  153.000000    0.000000    0.800000    1.000000    0.000000   \n",
+      "75%      1.000000  166.000000    1.000000    1.600000    2.000000    1.000000   \n",
+      "max      2.000000  202.000000    1.000000    6.200000    2.000000    4.000000   \n",
+      "\n",
+      "             thal      target  \n",
+      "count  303.000000  303.000000  \n",
+      "mean     2.313531    0.544554  \n",
+      "std      0.612277    0.498835  \n",
+      "min      0.000000    0.000000  \n",
+      "25%      2.000000    0.000000  \n",
+      "50%      2.000000    1.000000  \n",
+      "75%      3.000000    1.000000  \n",
+      "max      3.000000    1.000000  \n"
+     ]
+    }
+   ],
    "source": [
     "#display statistics summary\n",
     "print(df.describe())"
@@ -62,9 +161,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "               age       sex        cp  trestbps      chol       fbs  \\\n",
+      "age       1.000000 -0.098447 -0.068653  0.279351  0.213678  0.121308   \n",
+      "sex      -0.098447  1.000000 -0.049353 -0.056769 -0.197912  0.045032   \n",
+      "cp       -0.068653 -0.049353  1.000000  0.047608 -0.076904  0.094444   \n",
+      "trestbps  0.279351 -0.056769  0.047608  1.000000  0.123174  0.177531   \n",
+      "chol      0.213678 -0.197912 -0.076904  0.123174  1.000000  0.013294   \n",
+      "fbs       0.121308  0.045032  0.094444  0.177531  0.013294  1.000000   \n",
+      "restecg  -0.116211 -0.058196  0.044421 -0.114103 -0.151040 -0.084189   \n",
+      "thalach  -0.398522 -0.044020  0.295762 -0.046698 -0.009940 -0.008567   \n",
+      "exang     0.096801  0.141664 -0.394280  0.067616  0.067023  0.025665   \n",
+      "oldpeak   0.210013  0.096093 -0.149230  0.193216  0.053952  0.005747   \n",
+      "slope    -0.168814 -0.030711  0.119717 -0.121475 -0.004038 -0.059894   \n",
+      "ca        0.276326  0.118261 -0.181053  0.101389  0.070511  0.137979   \n",
+      "thal      0.068001  0.210041 -0.161736  0.062210  0.098803 -0.032019   \n",
+      "target   -0.225439 -0.280937  0.433798 -0.144931 -0.085239 -0.028046   \n",
+      "\n",
+      "           restecg   thalach     exang   oldpeak     slope        ca  \\\n",
+      "age      -0.116211 -0.398522  0.096801  0.210013 -0.168814  0.276326   \n",
+      "sex      -0.058196 -0.044020  0.141664  0.096093 -0.030711  0.118261   \n",
+      "cp        0.044421  0.295762 -0.394280 -0.149230  0.119717 -0.181053   \n",
+      "trestbps -0.114103 -0.046698  0.067616  0.193216 -0.121475  0.101389   \n",
+      "chol     -0.151040 -0.009940  0.067023  0.053952 -0.004038  0.070511   \n",
+      "fbs      -0.084189 -0.008567  0.025665  0.005747 -0.059894  0.137979   \n",
+      "restecg   1.000000  0.044123 -0.070733 -0.058770  0.093045 -0.072042   \n",
+      "thalach   0.044123  1.000000 -0.378812 -0.344187  0.386784 -0.213177   \n",
+      "exang    -0.070733 -0.378812  1.000000  0.288223 -0.257748  0.115739   \n",
+      "oldpeak  -0.058770 -0.344187  0.288223  1.000000 -0.577537  0.222682   \n",
+      "slope     0.093045  0.386784 -0.257748 -0.577537  1.000000 -0.080155   \n",
+      "ca       -0.072042 -0.213177  0.115739  0.222682 -0.080155  1.000000   \n",
+      "thal     -0.011981 -0.096439  0.206754  0.210244 -0.104764  0.151832   \n",
+      "target    0.137230  0.421741 -0.436757 -0.430696  0.345877 -0.391724   \n",
+      "\n",
+      "              thal    target  \n",
+      "age       0.068001 -0.225439  \n",
+      "sex       0.210041 -0.280937  \n",
+      "cp       -0.161736  0.433798  \n",
+      "trestbps  0.062210 -0.144931  \n",
+      "chol      0.098803 -0.085239  \n",
+      "fbs      -0.032019 -0.028046  \n",
+      "restecg  -0.011981  0.137230  \n",
+      "thalach  -0.096439  0.421741  \n",
+      "exang     0.206754 -0.436757  \n",
+      "oldpeak   0.210244 -0.430696  \n",
+      "slope    -0.104764  0.345877  \n",
+      "ca        0.151832 -0.391724  \n",
+      "thal      1.000000 -0.344029  \n",
+      "target   -0.344029  1.000000  \n"
+     ]
+    }
+   ],
    "source": [
     "#display correlation\n",
     "print (df.corr())"
@@ -72,9 +225,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              age       sex        cp    trestbps        chol       fbs  \\\n",
+      "target                                                                    \n",
+      "0       56.601449  0.826087  0.478261  134.398551  251.086957  0.159420   \n",
+      "1       52.496970  0.563636  1.375758  129.303030  242.230303  0.139394   \n",
+      "\n",
+      "         restecg     thalach     exang   oldpeak     slope        ca      thal  \n",
+      "target                                                                          \n",
+      "0       0.449275  139.101449  0.550725  1.585507  1.166667  1.166667  2.543478  \n",
+      "1       0.593939  158.466667  0.139394  0.583030  1.593939  0.363636  2.121212  \n"
+     ]
+    }
+   ],
    "source": [
     "# Print mean values for each column with and without disease\n",
     "print(df.groupby('target').mean())"
@@ -82,9 +251,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "     age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
+      "167   62    0   0       140   268    0        0      160      0      3.6   \n",
+      "181   65    0   0       150   225    0        0      114      0      1.0   \n",
+      "182   61    0   0       130   330    0        0      169      0      0.0   \n",
+      "190   51    0   0       130   305    0        1      142      1      1.2   \n",
+      "204   62    0   0       160   164    0        0      145      0      6.2   \n",
+      "\n",
+      "     slope  ca  thal  target  \n",
+      "167      0   2     2       0  \n",
+      "181      1   3     3       0  \n",
+      "182      2   0     2       0  \n",
+      "190      1   0     3       0  \n",
+      "204      0   3     3       0  \n"
+     ]
+    }
+   ],
    "source": [
     "# get table with selection on more than 1 column\n",
     "df1 = df[(df[\"sex\"] == 0) & (df[\"target\"] == 0) ]\n",
@@ -100,9 +289,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0      63\n",
+      "1      37\n",
+      "3      56\n",
+      "5      57\n",
+      "7      44\n",
+      "       ..\n",
+      "295    63\n",
+      "297    59\n",
+      "299    45\n",
+      "300    68\n",
+      "301    57\n",
+      "Name: age, Length: 207, dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc9f07ea340>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# age dirtibution group into male and female (1 = male; 0 = female)\n",
     "# male\n",
@@ -117,9 +345,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0, 'max heart rate')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.figure()\n",
     "# Plot maximum heart rate\n",
@@ -134,11 +383,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fca5819bd30>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Plot sex and target in one histogramm via crosstab\n",
     "pd.crosstab(df.sex,df.target).plot(kind=\"bar\",color=['red','blue' ])\n",
@@ -149,11 +419,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Frequency of Disease or Not')"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Plot target and cp in one histogramm via crosstab\n",
     "pd.crosstab(df.cp,df.target).plot(kind=\"bar\",figsize=(15,6),color=['#11A5AA','#AA1190' ])\n",
diff --git a/slides/01_intro_python.md b/slides/01_intro_python.md
index fc6a05e..c154f61 100644
--- a/slides/01_intro_python.md
+++ b/slides/01_intro_python.md
@@ -902,6 +902,33 @@ The basic indexable objects are
      ```
      \normalsize
 
+## 
+
+\setbeamertemplate{itemize item}{\color{red}\tiny$\blacksquare$}
+
+* Selecting data of pandas objects continued
+
+   \vspace{0.5cm}
+
+   * More operations 
+
+     \footnotesize
+
+     ```python
+     df.drop(['col1', 'col2'], axis=1)  # removes columns 'col1' and 'col2'
+     df.fillna(0)                       # fills missing values with 0
+     df.fillna(method='ffill')          # fills missing values with previous 
+                                        # non-missing value in the column
+     df.replace('old_val', 'new_val')   # replaces 'old_val' with 'new_val'
+     df.groupby('col1').mean()          # groups by 'col1' and computes
+                                        # the mean of each group
+     pd.merge(df1, df2, on='column1')   # merges df1 and df2 on 'column1'
+     df['column1'].value_counts()       # counts the number of occurrences
+                                        # of each unique value in 'column'
+     ```
+     \normalsize
+
+   \vspace{3cm}
 
 ##  Pandas - plotting data