PYTHON — Floating Point Literals in Python- A Comprehensive Guide

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Define Floating-Point Literals in Python

When working with floating-point literals in Python, it’s important to understand how to represent and use them. In this tutorial, we will explore the concept of floating-point literals and provide examples of their usage in Python.

What are Floating-Point Literals?

Floating-point literals in Python are used to represent real numbers. They can be written in several forms, including decimal and exponential notation.

Writing Floating-Point Literals

Let’s take a look at some examples of how to write floating-point literals in Python.

Decimal Notation

In decimal notation, a floating-point literal is represented as a number with a decimal point. For example, 3.14 and 0.123 are floating-point literals in decimal notation.

num1 = 3.14
num2 = 0.123

Exponential Notation

Exponential notation, also known as E notation, is another way to represent floating-point literals. In this notation, a number is represented as the product of a mantissa and a power of 10. For example, 1.2e3 represents 1.2 multiplied by 10 raised to the power of 3.

num3 = 1.2e3

Using Floating-Point Literals

Once we have defined floating-point literals, we can perform various operations with them, such as arithmetic calculations.

# Addition
result = 3.14 + 2.71
print(result)  # Output: 5.85

# Multiplication
result = 1.5e2 * 2.0
print(result)  # Output: 300.0

Conclusion

In this tutorial, we discussed the concept of floating-point literals in Python and provided examples of their usage. By understanding how to represent and use floating-point literals, you can effectively work with real numbers in Python.