Python programming language. RegEx
A Comprehensive Guide to Python's RegEx Syntax and Functions
Unlock the power of Python RegEx! Learn basic syntax, matching functions, special characters, groups, and string modifications. Enhance your coding skills by mastering these essential pattern-matching techniques.
Chapters:
00:00 Title Card
00:02 Basic Syntax & Patterns in Python RegEx
Summary:
Understand the structure of regular expressions
Learn common patterns used in Python
Identify how patterns match textimport re
pattern = r'\d+'
text = "There are 123 apples"
match = re.search(pattern, text)
if match:
print(match.group())
00:04 Python RegEx Matching Functions
Summary:
Use match() for checking pattern at the start
Utilize search() to find a pattern anywhere
Employ findall() for all matches in a string
Apply finditer() for iterator of match objectsimport re
pattern = "abc"
text = "abcdef abc"
match = re.match(pattern, text)
search = re.search(pattern, text)
findall = re.findall(pattern, text)
finditer = re.finditer(pattern, text)
00:06 Special Characters & Sequences
Summary:
Recognize metacharacters for pattern precision
Use escape sequences to match special chars
Improve pattern accuracy with special sequencesimport re
pattern = r"\d{3}-\d{2}-\d{4}"
text = "SSN: 123-45-6789"
match = re.search(pattern, text)
if match:
print("Found!")
00:08 Groups & Capturing in RegEx
Summary:
Use parentheses to group expressions
Capture specific parts of a match
Access captured groups for further processingimport re
pattern = r"(\d+)-(\w+)"
match = re.match(pattern,
"123-abc")
if match:
num, word = match.groups()
print(num, word)
00:10 String Modification with RegEx
Summary:
Use sub() to replace patterns in strings
Apply split() to divide strings by patterns
Modify strings based on regular expression matchesimport re
text = "Hello 123 World"
result = re.sub(
r'\d+',
"456", text)
parts = re.split(
r'\s+', text)
00:12 End Card
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