Data Type Conversion in Python

Data type conversion in Python allows you to transform one data type into another. Python provides built-in functions to perform these conversions, which return new objects representing the converted values.

Common Type Conversion Functions

Function Description Example
int() Converts to integer int("42") ? 42
float() Converts to floating-point float("3.14") ? 3.14
str() Converts to string str(42) ? "42"
bool() Converts to boolean bool(1) ? True
list() Converts to list list("abc") ? ['a', 'b', 'c']
tuple() Converts to tuple tuple([1, 2, 3]) ? (1, 2, 3)

Converting to Numeric Types

String to Integer

Convert string numbers to integers using int() ?

# String to integer conversion
number_str = "42"
number_int = int(number_str)
print(f"String: {number_str}, Type: {type(number_str)}")
print(f"Integer: {number_int}, Type: {type(number_int)}")

# With different bases
binary_str = "1010"
decimal_from_binary = int(binary_str, 2)
print(f"Binary '1010' to decimal: {decimal_from_binary}")
String: 42, Type: <class 'str'>
Integer: 42, Type: <class 'int'>
Binary '1010' to decimal: 10

String to Float

Convert strings to floating-point numbers ?

# String to float conversion
price_str = "19.99"
price_float = float(price_str)
print(f"String: {price_str}, Type: {type(price_str)}")
print(f"Float: {price_float}, Type: {type(price_float)}")

# Scientific notation
scientific = "1.5e3"
result = float(scientific)
print(f"Scientific notation: {scientific} = {result}")
String: 19.99, Type: <class 'str'>
Float: 19.99, Type: <class 'float'>
Scientific notation: 1.5e3 = 1500.0

Converting to String Type

Use str() to convert any object to its string representation ?

# Various types to string
number = 42
pi = 3.14159
is_active = True
data = [1, 2, 3]

print(f"Integer to string: {str(number)}")
print(f"Float to string: {str(pi)}")
print(f"Boolean to string: {str(is_active)}")
print(f"List to string: {str(data)}")
Integer to string: 42
Float to string: 3.14159
Boolean to string: True
List to string: [1, 2, 3]

Converting Between Collection Types

Convert between lists, tuples, and sets ?

# Original list
numbers = [1, 2, 3, 2, 4]

# Convert to different types
numbers_tuple = tuple(numbers)
numbers_set = set(numbers)  # Removes duplicates
numbers_back_to_list = list(numbers_set)

print(f"Original list: {numbers}")
print(f"To tuple: {numbers_tuple}")
print(f"To set: {numbers_set}")
print(f"Back to list: {numbers_back_to_list}")
Original list: [1, 2, 3, 2, 4]
To tuple: (1, 2, 3, 2, 4)
To set: {1, 2, 3, 4}
Back to list: [1, 2, 3, 4]

Character and ASCII Conversions

Convert between characters and their ASCII values ?

# Character to ASCII and back
char = 'A'
ascii_value = ord(char)
back_to_char = chr(ascii_value)

print(f"Character: {char}")
print(f"ASCII value: {ascii_value}")
print(f"Back to character: {back_to_char}")

# Convert number to hex and octal
number = 255
hex_value = hex(number)
oct_value = oct(number)

print(f"Number: {number}")
print(f"Hexadecimal: {hex_value}")
print(f"Octal: {oct_value}")
Character: A
ASCII value: 65
Back to character: A
Number: 255
Hexadecimal: 0xff
Octal: 0o377

Boolean Conversion

Python follows specific rules for boolean conversion ?

# Different values to boolean
values = [0, 1, "", "hello", [], [1, 2], None]

for value in values:
    boolean_result = bool(value)
    print(f"{repr(value):10} ? {boolean_result}")
0          ? False
1          ? True
''         ? False
'hello'    ? True
[]         ? False
[1, 2]     ? True
None       ? False

Handling Conversion Errors

Some conversions may fail and raise exceptions ?

# Safe conversion with error handling
def safe_int_convert(value):
    try:
        return int(value)
    except ValueError:
        return f"Cannot convert '{value}' to integer"

test_values = ["42", "3.14", "hello", ""]
for value in test_values:
    result = safe_int_convert(value)
    print(f"Converting '{value}': {result}")
Converting '42': 42
Converting '3.14': Cannot convert '3.14' to integer
Converting 'hello': Cannot convert 'hello' to integer
Converting '': Cannot convert '' to integer

Conclusion

Python's built-in type conversion functions make it easy to transform data between different types. Always handle potential conversion errors when working with user input or uncertain data sources.

Updated on: 2026-03-25T07:29:44+05:30

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