Pattern Searching In Python
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Lecture 74:- Pattern Searching In Python
Pattern searching in Python involves finding occurrences of a specific pattern (substring) within a larger string. Python provides several methods and modules for pattern searching, but one of the most commonly used is the
str.find()method and regular expressions (using theremodule).
- Using
str.find()method: Thefind()method is used to find the starting index of the first occurrence of a substring within a string. If the substring is not found, it returns -1.pythonCopy code
text = "Python is a powerful programming language." pattern = "powerful" index = text.find(pattern) if index != -1: print(f"Pattern found at index: {index}") else: print("Pattern not found.")
- Using Regular Expressions (re module): The
remodule in Python provides powerful functionalities for working with regular expressions. Regular expressions allow you to define complex search patterns and perform pattern matching in strings.pythonCopy code
import re text = "Python is a powerful programming language." pattern = r"\bpowerful\b" # \b denotes word boundary to match "powerful" as a whole word matches = re.finditer(pattern, text) for match in matches: print(f"Pattern found at index: {match.start()}")In the above example, we use the
re.finditer()function to search for the pattern "powerful" as a whole word (not as a substring of other words). Thefinditer()function returns an iterator that produces match objects containing information about the pattern matches.The pattern
r"\bpowerful\b"uses\bto match "powerful" as a whole word. If you want to find all occurrences (not just whole words), you can usere.finditer(r"powerful", text)without\b.Regular expressions offer great flexibility in defining patterns and searching for complex patterns in strings. They are especially useful when you need to perform advanced pattern matching and extraction in text data.
Remember to use the appropriate method or module based on your specific pattern search requirements. If you need simple substring searching, the
str.find()method may be sufficient. For more complex and versatile pattern matching, regular expressions are the way to go.
- 1. Background Part 1 (IO Devices, CPU and Memory) In Python
- 2. Background Part 2 (Computer Organization & Operating System) In Python
- 3. Why Do We Need Programming Languages in Python
- 4. Python Introduction in Python
- 5. Python Standard and Implementations in Python
- 6. How Python Programs are Executed
- 7. Python Programming Terminology
- 8. Python Installation and First Program
- 9. Comments in Python
- 1. Arithmetic Operators in Python
- 2. Logical Operators in Python
- 3. Identity Comparison Operators in Python
- 4. Membership Test Operators in Python
- 5. Bitwise Operators in Python Part 1
- 6. Bitwise Operators In Python Part 2
- 7. Arithmetic Progression nth Term in Python
- 8. Geometric Progression nth Term in Python
- 9. Sum Of Natural numbers In Python
- 10. Find Last Digit In Python
- 11. Day Before N Days In Python
- 1. Loops In Python
- 2. While Loops In Python
- 3. range() In Python
- 4. For Loop In Python
- 5. Table Of A Number In Python
- 6. Break In Python
- 7. Continue In Python
- 8. Nested Loop In Python
- 9. Square Pattern In Python
- 10. Printing Triangle Pattern In Python
- 11. Inverted Triangle In Python
- 12. Pyramid Pattern In Python
- 13. Count Digits In Python
- 14. Factorial In Python
- 15. GCD In Python
- 16. LCM In Python
- 17. Fibonacci Numbers In Python
- 18. Check For Prime In Python
- 19. All Divisors In Python
- 20. Optimizations Of All Divisors And Prime Python
- 1. Strings In Python
- 2. Escape Sequences And Raw Strings Python
- 3. Formatted String In Python
- 4. String Operations Part(1) In Python
- 5. String Operations Part(2) In Python
- 6. String Comparison in Python
- 7. Pattern Searching In Python
- 8. Check For Palindrome In Python
- 9. Reverse A String In Python
- 10. Decimal to Binary In Python
- 11. Binary to Decimal Conversion In Python
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