Type Conversion in Python
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Lecture 17:- Type Conversion in Python
Type conversion, also known as type casting, is the process of converting one data type to another in Python. Python provides built-in functions to perform type conversion between different data types. This allows you to work with data in the format you need for specific operations. Here are some common type conversion functions in Python:
- Integer Conversion:
int()Theint()function is used to convert a value to an integer data type.Example:
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num_str = "42" num_int = int(num_str) print(num_int) # Output: 42
- Float Conversion:
float()Thefloat()function converts a value to a floating-point data type.Example:
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num_str = "3.14" num_float = float(num_str) print(num_float) # Output: 3.14
- String Conversion:
str()Thestr()function converts a value to a string data type.Example:
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num_int = 42 num_str = str(num_int) print(num_str) # Output: "42"
- List Conversion:
list()Thelist()function converts an iterable (e.g., tuple, set, string) to a list data type.Example:
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num_tuple = (1, 2, 3) num_list = list(num_tuple) print(num_list) # Output: [1, 2, 3]
- Tuple Conversion:
tuple()Thetuple()function converts an iterable (e.g., list, set, string) to a tuple data type.Example:
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num_list = [1, 2, 3] num_tuple = tuple(num_list) print(num_tuple) # Output: (1, 2, 3)
- Set Conversion:
set()Theset()function converts an iterable (e.g., list, tuple, string) to a set data type.Example:
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num_list = [1, 2, 2, 3, 3, 3] num_set = set(num_list) print(num_set) # Output: {1, 2, 3}
- Boolean Conversion:
bool()Thebool()function converts a value to a boolean data type. Any non-zero numeric value or non-empty object will be converted toTrue, while0,None, empty strings, and empty objects will be converted toFalse.Example:
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value = 42 is_true = bool(value) print(is_true) # Output: TrueThese type conversion functions are useful when you need to change the data type of a variable or value to perform specific operations. However, keep in mind that some conversions may result in data loss or unexpected behavior, so it's essential to use type conversion with caution and ensure it is appropriate for your specific use case.
- 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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