regex

Question 1

Digit

regex

2 alternatives

Answer 1

\d

Question 2

a or b

regex

Answer 2

(a|b)

Question 3

Group

regex

Answer 3

(...)

Question 4

Range (a or b or c)

regex

Answer 4

[abc]

Question 5

Not (a or b or c)

Answer 5

[^abc]

Question 6

Lower case letter from a to q

Answer 6

[a-q]

Question 7

Upper case letter from A to Q

Answer 7

[A-Q]

Question 8

Digit from 0 to 7

Answer 8

[0-7]

Question 9

Look-ahead assertions

Answer 9

?=

Question 10

Negative look-ahead

Answer 10

?!

Question 11

Look-behind assertion

Answer 11

?<=

Question 12

Negative look-behind

Answer 12

?!=
?<!

Question 13

Any character except new line

Answer 13

.

Question 14

0 or more

Answer 14

*

Question 15

1 or more

Answer 15

+

Question 16

Exactly 3

Answer 16

{3}

Question 17

3 or more

Answer 17

{3,}

Question 18

3, 4, or 5

Answer 18

{3-5}

Question 19

Not digit

Answer 19

\D

Question 20

Word

Answer 20

\w

Question 21

Not word

Answer 21

\W

Question 22

White space

Answer 22

\s

Question 23

Not white space

Answer 23

\S

Question 24

Start of string or line

Question 25

Start of string

Answer 25

\A

Question 26

End of string or line

Answer 26

$

Question 27

End of string

Answer 27

\Z

Question 28

Word boundary

Answer 28

\b

Question 29

Not word boundary

Answer 29

\B

Question 30

Octal character xxx

Answer 30

\xxx

Question 31

Hex character hh

Answer 31

\xhh

Question 32

Use regular expressions

Answer 32

import re

matches = re.findall(r’\b\d+\b’, text)

Question 33

Cleaning adresses

Answer 33

import re

def clean_address(address):
pattern = r’\d+\s+(?:[A-Z][a-z]+\s+)+’ # Match street address part
match = re.search(pattern, address)
if match:
return match.group(0).title() # Return it capitalized
else:
return address # Leave it as is if no match