webscrapping lists to dataframe

[perfringo]

Isn't there needless conversions in creating record_list?

>>> a = [1, 2, 3]                                                              
>>> b = 'abc'                                                                  
>>> c = [10, 20, 30] 
>>> for row in zip(a, b, c): 
....    print(row) 
....                                                                           
(1, 'a', 10)
(2, 'b', 20)
(3, 'c', 30)
>>> for row in list(zip(a, b, c)): 
....    print(row) 
....                                                                           
(1, 'a', 10)
(2, 'b', 20)
(3, 'c', 30)
>>> [list(item) for item in list(zip(a, b, c))]                                
[[1, 'a', 10], [2, 'b', 20], [3, 'c', 30]]
>>> list(zip(a, b, c))                                                         
[(1, 'a', 10), (2, 'b', 20), (3, 'c', 30)]

DataFrame data source can be iterable (documentation: data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame) therefore even converting to list is not necessary:

>>> df = pd.DataFrame(zip(a, b, c), columns = ('First', 'Second', 'Third'))
>>> df
   First Second  Third
0      1      a     10
1      2      b     20
2      3      c     30