parameters: (sql, con, cur=None, params=None)
return_statement: return pandas_sql.execute(*args)
docstring: Execute the given SQL query using the provided connection object.
  
      Parameters
      ----------
      sql : string
          SQL query to be executed.
      con : SQLAlchemy connectable(engine/connection) or sqlite3 connection
          Using SQLAlchemy makes it possible to use any DB supported by the
          library.
          If a DBAPI2 object, only sqlite3 is supported.
      cur : deprecated, cursor is obtained from connection, default: None
      params : list or tuple, optional, default: None
          List of parameters to pass to execute method.
  
      Returns
      -------
      Results Iterable
docstring_summary: Execute the given SQL query using the provided connection object.
docstring_tokens: Execute the given SQL query using the provided connection object .
function: def execute(sql, con, cur=None, params=None):
      """
      Execute the given SQL query using the provided connection object.
  
      Parameters
      ----------
      sql : string
          SQL query to be executed.
      con : SQLAlchemy connectable(engine/connection) or sqlite3 connection
          Using SQLAlchemy makes it possible to use any DB supported by the
          library.
          If a DBAPI2 object, only sqlite3 is supported.
      cur : deprecated, cursor is obtained from connection, default: None
      params : list or tuple, optional, default: None
          List of parameters to pass to execute method.
  
      Returns
      -------
      Results Iterable
      """
      if cur is None:
          pandas_sql = pandasSQL_builder(con)
      else:
          pandas_sql = pandasSQL_builder(cur, is_cursor=True)
      args = _convert_params(sql, params)
      return pandas_sql.execute(*args)
function_tokens: def execute ( sql , con , cur = None , params = None ) : if cur is None : pandas_sql = pandasSQL_builder ( con ) else : pandas_sql = pandasSQL_builder ( cur , is_cursor = True ) args = _convert_params ( sql , params ) return pandas_sql . execute ( * args )