Have you ever entered a number into a Python program but received an error when trying to perform a calculation? This is a common problem for beginners. It often happens because the data type of a value is different from what the program expects. For example, when you use Python's input() function, the value entered by the user is returned as a string. If you want to perform mathematical calculations with that value, you may need to convert it into a numeric type first. This process is called type conversion . In this article, we will learn what type conversion is, why it is useful, how to convert values using int() , float() , str() , and bool() , and how to avoid common errors. 1. What Is Type Conversion in Python? Type conversion is the process of converting a value from one data type to another. For example, you may convert: A string into an integer. An integer into a floating-point number. A number into a string. A value into a Boolean value. Consider this example: number = ...
When you start learning Python, you will work with different kinds of values. Sometimes you will store a person's name, sometimes an age, and sometimes a percentage or a logical value such as True or False . But how does Python distinguish between these values? The answer is data types . Data types tell us what kind of value we are working with. Understanding them is important because different types of data support different operations. For example, adding two numbers is different from joining two strings. In this article, we will explore the six fundamental types listed in our syllabus: int , float , complex , str , bool , and None . We will also learn how to identify data types using Python's built-in type() function. 1. What Is a Data Type in Python? A data type describes the kind of value represented by an object in a Python program. Consider the following example: age = 20 price = 99.50 name = "Rahul" is_student = True Here, the variables contain different ty...