A Beginner’s Guide to Python Type Conversion [With Examples]

Being the most powerful programming language, Python offers a type conversion system that enables you to handle multiple data types.

It also includes both implicit and explicit conversion. So, in today’s guide, we will learn about data types, type conversion, and how to adapt to different values effortlessly in Python.

Let’s unlock the mystery of Python-type conversion!

What is Data Types in Python

Data types in Python refer to the classification of data values that determine the operations or actions that can be performed on them. Moreover, as Python is a dynamically-typed language, this signifies that it is not required to explicitly declare the variable type. Instead, Python decides their data type based on the values assigned at runtime.

Python Immutable vs Mutable Data Types

Python data types are categorized into two categories: Immutable and Mutable.

Immutable data types are those values that cannot be changed or modified after creation. More specifically, if you try to modify an immutable object, a new object is created in memory.

Here are some of the examples of Python immutable data types:

  • int (integer): x = 5
  • float (floating-point number): pi = 3.14
  • str (string): name = Sharqa
  • tuple: coordinates = (30, 40)

Whereas, the mutable Python data types can be modified or changed after creation. Note that, when you change a mutable object, it changes in place, and the memory address also remains the same.

Look at the given examples of Python mutable data types:

  • list: numbers = [7,8,9]
  • dict (dictionary): author = {‘name’: ‘Sharqa’, ‘age’: 25}
  • set: colors = {‘pink’, ‘blue’, ‘white’}

What is Type Inference in Python

Type inference is a Python feature that enables the interpreter to automatically find out the data type of the variable based on the assigned value. It makes Python a concise and highly flexible language because you do not have to declare types explicitly.

More specifically, type inference enhances readability, simplifies coding, and also minimizes the chances of getting a type-related error.

Here is an example of type inference:

# Type inference in Python
x = 5          # x is inferred as an integer
name = "Sharqa"  # name is inferred as a string
pi = 3.14      # pi is inferred as a float

Python Implicit Type Conversion

Type Coercion or Implicit type conversion is known as the automatic conversion of one data type to another. This conversion is done by the Python interpreter and it occurs when an expression comprises an operand having different data types.

In this process, Python tries to make a conversion that avoids data loss and also preserves the most relevant information.

For instance, in the provided code, Python will perform an implicit type conversion for converting the “num_int” integer to a float before adding it to “num_float“.

Lastly, the “result” variable will be of float type.

# Implicit type conversion
num_int = 5
num_float = 3.14
result = num_int + num_float
Python Implicit Type Conversion
Python Implicit Type Conversion

Python Explicit Type Conversion

Explicit conversion or Type Casting is known as the manual conversion of one data type into another. This can be done by the programmer or developers. As discussed earlier, Python handles the conversion automatically in implicit conversion.

However, the explicit type conversion offers you control over how the conversion is performed.

Note: Functions such as “int()“, “float()“, “list()“, “str()“, “tuple()”, “set()“, and “dict()” can be utilized for the typecasting as per requirements.

Here, we have invoked the str() function for converting the “num_int” integer to a string. The resultant value will be displayed by calling the print() function.

# Explicit type conversion
num_int = 10
num_str = str(num_int)
Python Explicit Type Conversion
Python Explicit Type Conversion

This type of conversion can be particularly useful when you need to ensure the data type before performing a particular operation.

Python Numeric Type Conversion

Numeric type conversion is based on the approach of converting different numeric data types, like floats, integers, and complex numbers.

It can be done by utilizing the built-in functions of Python.

1. Convert Integer to Float

Python allows you to convert an integer to float using the “int()” function and float to int with the “float()” method respectively.

For example, in the given program, we will convert the “num_int” integer to float and the value of the float variable “num_float” to an integer.

# Numeric Type Conversion - Integers and Floats
num_int = 10
num_float = 3.14

converted_int = int(num_float)  
converted_float = float(num_int)  

print("Converted int value:", converted_int)    
print("Converted float value:", converted_float)  
Convert Integer to Float in Python
Convert Integer to Float in Python

2. Convert Real and Imaginary Parts to Complex Numbers

Additionally, Python also permits you to create complex numbers from real and imaginary parts using the “complex()” function, as we did here.

# Numeric Type Conversion - Complex Numbers
real_num = 2
imaginary_num = 3

complex_num = complex(real_num, imaginary_num)
Convert Real and Imaginary Parts to Complex Numbers
Convert Real and Imaginary Parts to Complex Numbers

Python String Type Conversion

In String type conversion, you can convert the strings to the desired data type. For instance, convert string to integers, floats, or other numeric values.

For instance, we will now convert two strings “num_str” and float_str” to integer and float data types using the “int()” and “float()” functions, respectively.

# String Type Conversion
num_str = "35"
float_str = "3.14"

# Converting strings to numeric data types
num_int = int(num_str)
num_float = float(float_str)

Python String Type Conversion
Python String Type Conversion

Python Boolean Type Conversion

In this type of conversion, you can convert values to boolean data types, such as “True” or “False“. Remember that, in Python, some particular values can be truthy or false, which signifies that they can be implicitly converted to boolean values as listed below:

  • Truthy Values: Non-empty, non-zero, non-null values are considered True.
  • Falsy Values: Empty, zero, or None values are considered False.

In this example, we have converted a “truthy_value” and a “falsy_value” to their respective boolean values.

# Boolean Type Conversion
# Truthy values
truthy_value = "Hi GeeksVeda User"
is_true = bool(truthy_value)

# Falsy values
falsy_value = 0
is_false = bool(falsy_value)

Python Boolean Type Conversion
Python Boolean Type Conversion

Python Lists Type Conversion

The Lists are the most Python versatile data structures that can be needed to convert into other types, such as sets, tuples, or dictionaries.

For example, we will now convert an “authors_list” having three authors’ name and then convert it to a tuple, a set, and a dictionary with “tuple()“, and “set()” functions, and using the indexes as keys with the enumerate() function for dictionary conversion, respectively.

# Lists Type Conversion
authors_list = ['Ravi', 'Sharqa', 'Tulsi']

# Converting a list to a tuple
authors_tuple = tuple(authors_list)

# Converting a list to a set
authors_set = set(authors_list)

# Converting a list to a dictionary with index as keys
authors_dict = {index: fruit for index, fruit in enumerate(authors_list)}

Python Lists Type Conversion
Python Lists Type Conversion

Python Tuple Type Conversion

Tuples are immutable. However, you can convert them to other data types, such as lists and sets, as demonstrated below.

# Tuple Type Conversion
coordinates_tuple = (40, 50)

# Converting a tuple to a list
coordinates_list = list(coordinates_tuple)

# Converting a tuple to a set
coordinates_set = set(coordinates_tuple)

Python Tuple Type Conversion
Python Tuple Type Conversion

Python Set Type Conversion

Sets are the unordered collection but can be converted into lists, types, or dictionaries as demonstrated as follows.

# Set Type Conversion
colors_set = {'pink', 'blue', 'white'}

# Converting a set to a list
colors_list = list(colors_set)

# Converting a set to a tuple
colors_tuple = tuple(colors_set)

# Converting a set to a dictionary with set elements as keys and None as values
colors_dict = {color: None for color in colors_set}

Python Set Type Conversion
Python Set Type Conversion

Python Dictionary Type Conversion

Last but not least, Python also permits you to convert dictionaries into lists, tuples, or sets as per data manipulation requirements.

For instance, in the provided code, we first converted the “person_dict” dictionary into a list of keys using the list() function. After that, we invoked the “tuple()” function to convert the original dictionary to a tuple of values.

Lastly, the “person_dict” has been converted into a set of key values with the “set()” function.

# Dictionary Type Conversion
person_dict = {'name': 'Sharqa', 'age': 25, 'city': 'Islamabad'}

# Converting a dictionary to a list of keys
keys_list = list(person_dict.keys())

# Converting a dictionary to a tuple of values
values_tuple = tuple(person_dict.values())

# Converting a dictionary to a set of key-value pairs (tuples)
items_set = set(person_dict.items())

Python Dictionary Type Conversion
Python Dictionary Type Conversion

That’s all from today’s guide related to Python type conversion.


Python type conversion concept plays an essential part in manipulating data in programs. It also ensures the capability of handling several data types.

Additionally, implicit type conversion can be applied for simplifying the operations by automatically converting the values when required. On the other hand, explicit type conversion enables you to control the data types.

Want to explore and learn more related to Python, do check out our dedicated Python Tutorial Series!

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