slides/01_intro_python.md

@@ -902,33 +902,6 @@ 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