Basics of Regular Expressions in Python, check the link below 👇 👇
Also with table of contents about symbols and their usage in Regex
Regular Expressions Regex basic in Python 👈 👈
Python makes regular expressions available through the re module.
Find All Non-Overlapping Matches
Using re.findall(),
import re
re.findall(r"[0-9]{2,3}", "some 1 text 12 is 945 here 4445588899")
# Output: ['12', '945', '444', '558', '889'][0-9] {2,3} it matches a number between 0-9 that is 2 to 3 digits. anything from 10 to 999 matches.
Note that the r before “[0-9]{2,3}” tells python to interpret the string as-is; as a “raw” string.
You could also use re.finditer() which works in the same way as re.findall() but returns an iterator with
SRE_Match objects instead of a list of strings:
import re
results = re.finditer(r"([0-9]{2,3})", "some 1 text 12 is 945 here 4445588899")
print(results)
# Output: <callable-iterator object at 0x105245890>
for result in results:
print(result.group(0))OUTPUT:
<callable-iterator object at 0x105245890>
12
945
444
558
889
ILLUSTRATION USING PYTHON3 CLI
For the first part in using regular expressions and matching the string
you can visit this link –> 👇 👇
Matching the beginning of a string (Regex) Regular Expressions in python
The re.search() method takes a regular expression pattern and a string and searches for that pattern within the string. If the search is successful, search() returns a match object or None otherwise.
For the second part in using regular expression and searching the string
visit –> Searching – Regular Expressions (Regex) in Python
Replacing Strings using Regex Python
Replacements can be made on strings using re.sub. 👇 👇 👇
Replacing Strings using Regular Expression Regex in Python..-FcukTheCode.com
Replacing strings and Using group references Replacements with a small number of groups can be made.