Alex’s programming skills continued to flourish as they learned more about the different types of data in Python. Python had several built-in data types, including integers, floating-point numbers, strings, lists, and dictionaries. Each data type had its own unique properties and uses in programming.

One day, Alex was tasked with building a program that could display the name and age of a person. Alex decided to use Python’s string and integer data types to solve the problem. **The code looked like this:**

# Program to calculate the area of a circle # Author: Alex # Date: 2/25/2023 radius = 5 pi = 3.14 # Calculate the area of the circle using the formula A = Ï€r^2 area = pi * (radius ** 2) # Print the result print("The area of the circle is:", area)

In this code, Alex used a floating-point variable to store the value of pi. They then used the formula for the area of a circle to calculate the area, storing the result in a variable called `area`

. The result was then printed out.

As Alex continued to explore Python’s number data types, they discovered that they could perform complex calculations with ease. For example, they built a program that could calculate the sum of a geometric series. **The code looked like this:**

# Program to calculate the sum of a geometric series # Author: Alex # Date: 2/25/2023 a = 1 r = 2 n = 5 # Calculate the sum of the series using the formula S = a(1-r^n)/(1-r) sum = a * ((1 - r ** n) / (1 - r)) # Print the result print("The sum of the series is:", sum)

In this code, Alex used integer and floating-point variables to store the values of `a`

, `r`

, and `n`

. They then used the formula for the sum of a geometric series to calculate the sum, storing the result in a variable called `sum`

. **The result was then printed out.**

As Alex’s programming skills continued to grow, they discovered that Python’s number data types were incredibly powerful and versatile. They could be used to solve a wide range of programming problems and create complex applications. And with each new discovery, Alex became more confident in their programming abilities. They knew that with Python’s powerful number data types at their fingertips, they could tackle any programming task that came their way. And they all lived happily ever after.