PYTHON — Floating Point Literals in Python- A Definitive Exercise

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Defining Floating-Point Literals in Python

In Python, floating-point numbers, or floats, are numbers with a fractional part. They are represented differently in the computer’s memory compared to integers. In this exercise, you will learn how to define floating-point numbers in Python using E notation, also known as exponential notation or scientific notation.

Exercise

# Define a floating-point number using E notation
num = 6.02e23
print(num)  # Output: 6.02e+23

In the code snippet above, the variable num is assigned the value 6.02e23, which represents 6.02 multiplied by 10 raised to the power of 23. This is an example of defining a floating-point literal using E notation.

Take some time to work on similar exercises to reinforce your understanding of defining floating-point literals using E notation in Python.

Solution

# Define a floating-point number using E notation
num = 6.02e23
print(num)  # Output: 6.02e+23

In this exercise, you’ve successfully defined a floating-point literal using E notation. This notation is useful for representing very large or very small numbers in a compact and readable form.

By mastering the use of E notation, you can effectively work with floating-point numbers in Python and handle a wide range of numerical values in your programs.

Continue practicing and exploring floating-point literals to enhance your proficiency with numeric data types in Python.