old content: https://github.com/PhilipMay/eniak/blob/master/py/pandas.rst

data = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=data)

df.to_csv(<path_or_buffer>)

Without row names (index):

df.to_csv(<path_or_buffer>, index=False)

df = pd.read_csv(
        <path_or_buffer>,
        sep=';',
        encoding='us-ascii',
        usecols=<col_list>,
        nrows=<number_of_rows_to_read>,
        )

df.drop('<column_name>', axis=1, inplace=True)

# low to high values
df.sort_values('<column_name>', inplace=True)
 
# high to low values
df.sort_values('<column_name>', ascending=False, inplace=True)

Never forget to ignore_index or you have duplicate index values and bad things might happen later!

df = pd.concat([df_01, df_02], ignore_index=True)

Examples for display settings:

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_colwidth', None)