print ("""
Name                 ID         Email
--------------------------------------------------""")


data = [["Suresh Datta", 57394, "[email protected]"], ["Colette Browning", 48539, "[email protected]"], ["Skye Homsi", 58302, "[email protected]"], ["Hiroto Yamaguchi", 48502, "[email protected]"], ["Tobias Ledford", 48291, "[email protected]"], ["Tamara Babic", 58201, "[email protected]"], ["Jin Xu", 48293, "[email protected]"], ["Joana Dias", 23945, "[email protected]"], ["Alton Derosa", 85823, "[email protected]"]]

for row in data:
    for col in row:
        print ("%s t %f t %s" % (col, col,col, col,col, col,col, col,col, col,col, col,col, col,col, col,col, col,col, col,col, col,col, col))

print("""
Name                 ID         Email
--------------------------------------------------""")

for row in data:
    print("{} t {} t {}".format(*row))

# pip install tabulate
from tabulate import tabulate
print(tabulate(data, headers=['Name', 'ID', 'Email'], tablefmt="grid"))

+------------------+-------+---------------------+
| Name             |    ID | Email               |
+==================+=======+=====================+
| Suresh Datta     | 57394 | [email protected]  |
+------------------+-------+---------------------+
| Colette Browning | 48539 | [email protected] |
+------------------+-------+---------------------+
| Skye Homsi       | 58302 | [email protected]    |
+------------------+-------+---------------------+
| Hiroto Yamaguchi | 48502 | [email protected]  |
+------------------+-------+---------------------+
| Tobias Ledford   | 48291 | [email protected]  |
+------------------+-------+---------------------+
| Tamara Babic     | 58201 | [email protected]  |
+------------------+-------+---------------------+
| Jin Xu           | 48293 | [email protected]     |
+------------------+-------+---------------------+
| Joana Dias       | 23945 | [email protected]   |
+------------------+-------+---------------------+
| Alton Derosa     | 85823 | [email protected]   |
+------------------+-------+---------------------+

import pandas as pd    # pip install pandas

df = pd.DataFrame(data, columns=['Name','ID','Email'])

print(df)

Name     ID                Email
0      Suresh Datta  57394   [email protected]
1  Colette Browning  48539  [email protected]
2        Skye Homsi  58302     [email protected]
3  Hiroto Yamaguchi  48502   [email protected]
4    Tobias Ledford  48291   [email protected]
5      Tamara Babic  58201   [email protected]
6            Jin Xu  48293      [email protected]
7        Joana Dias  23945    [email protected]
8      Alton Derosa  85823    [email protected]

In [73]: print(df[df['Name'].str.contains(r'(?:Tamara|Joana)')].sort_values('ID'))
           Name     ID               Email
7    Joana Dias  23945   [email protected]
5  Tamara Babic  58201  [email protected]

In [89]: for row in data:
    ...:     print("{:>20} {:>10} {:>30}".format(*row))
    ...:
    ...:
        Suresh Datta      57394             [email protected]
    Colette Browning      48539            [email protected]
          Skye Homsi      58302               [email protected]
    Hiroto Yamaguchi      48502             [email protected]
      Tobias Ledford      48291             [email protected]
        Tamara Babic      58201             [email protected]
              Jin Xu      48293                [email protected]
          Joana Dias      23945              [email protected]
        Alton Derosa      85823              [email protected]