Escape Sequences And Raw Strings Python
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Lecture 69:- Escape Sequences And Raw Strings Python
In Python, escape sequences are special sequences of characters that are used to represent certain non-printable or special characters within strings. They are denoted by a backslash
\followed by a specific character. Escape sequences allow you to include characters in strings that would otherwise be challenging to represent directly.Here are some common escape sequences in Python:
- Newline
\n: Inserts a newline character, which starts a new line.pythonCopy code
print("Line 1\nLine 2") # Output: # Line 1 # Line 2
- Tab
\t: Inserts a horizontal tab (indent).pythonCopy code
print("Name:\tJohn") # Output: # Name: John
- Backslash
\\: Inserts a single backslash character.pythonCopy code
print("This is a backslash: \\") # Output: # This is a backslash: \
- Single Quote
\': Inserts a single quote character.pythonCopy code
print('He said, \'Hello!\'') # Output: # He said, 'Hello!'
- Double Quote
\": Inserts a double quote character.pythonCopy code
print("She said, \"Hi!\"") # Output: # She said, "Hi!"If you want to create a string that contains a lot of backslashes, such as regular expressions or file paths, using escape sequences can lead to a lot of backslashes. To avoid this, you can use a "raw string" by prefixing the string with an 'r' or 'R'. Raw strings treat backslashes as regular characters and do not interpret them as escape sequences.
Here's an example of a raw string:
pythonCopy code
raw_string = r"C:\Users\Documents\file.txt" print(raw_string) # Output: # C:\Users\Documents\file.txtIn the raw string, the backslashes are treated as regular characters, and you don't need to escape them with additional backslashes.
Escape sequences and raw strings are useful in various situations when dealing with strings, especially when handling paths, regular expressions, or any content that includes special characters. They help to ensure that the strings are interpreted and displayed correctly.
- 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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