All about Python Type Conversion

Type conversion, also known as typecasting, is the process of converting one data type to another. In Python, there are several functions that you can use to convert one data type to another. Here are some of the most commonly used type conversion functions:

  1. int(): This function converts a value to an integer data type. If the value cannot be converted to an integer, a ValueError will be raised. For example:
x = int(3.14)   # x will be 3
y = int("42")   # y will be 42
  1. float(): This function converts a value to a float data type. If the value cannot be converted to a float, a ValueError will be raised. For example:
x = float(3)     # x will be 3.0
y = float("3.14")     # y will be 3.14
  1. str(): This function converts a value to a string data type. For example:
x = str(42)      # x will be "42"
y = str(3.14)    # y will be "3.14"
  1. bool(): This function converts a value to a boolean data type. The boolean value of an object depends on its truthiness. For example:
x = bool(0)       # x will be False
y = bool("")      # y will be False
z = bool("hello")  # z will be True
  1. list(), tuple(), set(): These functions convert a value to a list, tuple, or set data type, respectively. For example:
x = list("hello")   # x will be ["h", "e", "l", "l", "o"]
y = tuple([1, 2, 3])    # y will be (1, 2, 3)
z = set([1, 2, 2, 3, 3, 3])   # z will be {1, 2, 3}

These are just a few of the most commonly used type conversion functions in Python. It’s important to note that not all types can be converted to other types. For example, you cannot convert a string to an integer if the string contains non-numeric characters.

I hope this overview helps! Let me know if you have any other questions.

Type conversion, also known as typecasting, is the process of converting one data type to another. In Python, there are several functions that you can use to convert one data type to another. Here are some of the most commonly used type conversion functions:

  1. int(): This function converts a value to an integer data type. If the value cannot be converted to an integer, a ValueError will be raised. For example:
x = int(3.14)   # x will be 3
y = int("42")   # y will be 42
  1. float(): This function converts a value to a float data type. If the value cannot be converted to a float, a ValueError will be raised. For example:
x = float(3)     # x will be 3.0
y = float("3.14")     # y will be 3.14
  1. str(): This function converts a value to a string data type. For example:
x = str(42)      # x will be "42"
y = str(3.14)    # y will be "3.14"
  1. bool(): This function converts a value to a boolean data type. The boolean value of an object depends on its truthiness. For example:
x = bool(0)       # x will be False
y = bool("")      # y will be False
z = bool("hello")  # z will be True
  1. list(), tuple(), set(): These functions convert a value to a list, tuple, or set data type, respectively. For example:
x = list("hello")   # x will be ["h", "e", "l", "l", "o"]
y = tuple([1, 2, 3])    # y will be (1, 2, 3)
z = set([1, 2, 2, 3, 3, 3])   # z will be {1, 2, 3}

These are just a few of the most commonly used type conversion functions in Python. It’s important to note that not all types can be converted to other types. For example, you cannot convert a string to an integer if the string contains non-numeric characters.

I hope this overview helps! Let me know if you have any other questions.

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