Strings In Python
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Lecture 68:- Strings In Python
In Python, a string is a sequence of characters enclosed within single quotes (' '), double quotes (" "), or triple quotes (''' ''' or """ """). Strings are one of the built-in data types in Python and are used to represent textual data. They can contain letters, numbers, symbols, and spaces.
Here are some examples of strings:
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# Using single quotes string1 = 'Hello, World!' # Using double quotes string2 = "Python is awesome!" # Using triple quotes for multi-line strings string3 = '''This is a multi-line string. You can use triple quotes to preserve newlines and formatting.''' string4 = """Another multi-line string. This is also valid with triple double quotes."""You can manipulate strings in various ways, such as accessing individual characters, slicing, concatenating, converting case, and more. Here are some common string operations:
- Accessing Characters:
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string = "Python" print(string[0]) # Output: 'P' print(string[-1]) # Output: 'n'
- Slicing:
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string = "Python is fun" print(string[2:6]) # Output: "thon"
- String Concatenation:
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str1 = "Hello" str2 = "World" result = str1 + " " + str2 print(result) # Output: "Hello World"
- String Length:
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string = "Python" print(len(string)) # Output: 6
- String Methods:
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string = "Hello, World!" print(string.upper()) # Output: "HELLO, WORLD!" print(string.lower()) # Output: "hello, world!" print(string.startswith("H")) # Output: True print(string.split(",")) # Output: ['Hello', ' World!']Strings in Python are immutable, meaning once you create a string, you cannot modify its individual characters. However, you can create new strings based on existing ones using various string methods and operations.
Since strings are widely used in Python for text processing and manipulation, it's essential to become familiar with the different string methods and functionalities provided by the language.
- 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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