These code snippets demonstrate fundamental Python skills often used in geoprocessing and data automation. It shows how to build file names dynamically in section 1. In section 2, work with loops to raise the mathematical constant π (pi) to increasing powers, and employ the math module in Python scripts. Showcasing core operations like list creation and iterative logic is a foundation for more advanced GIS workflows or general data manipulation tasks.

# Section 1

    # Create a list of hypothetical file names using a for loop

        # Create a list with the following strings as elements: 'roads', 'cities', 'counties', 'states'

        # Create an empty list and then populate it by concatenating each of the strings above with‘.txt’.

        # This should result in a list of strings ending in .txt (e.g. ‘roads.txt’, ‘cities.txt’, etc.).

print() #formatting

print("Loop Results:")

files = ["roads", "cities", "counties", "states", "regions", "country"]

files_and_type = []

for file in files:

    files_and_type.append(file + ".txt")

print("Files:", files)

print("Files and their types:", files_and_type)

# Secotion 2

    # Write a while loop that raises the mathematical constant pi (3.14159...) to its

    # powers until the result is greater than 10,000 (i.e. pi 0 , pi1 , pi2 ,...)

import math

print() #formatting

print("Math Results:")

power = 0

result = math.pi ** power

while result <= 10000:

    power += 1

    result = math.pi ** power

    print("Pi raised to the power of", power, "is", result)

else:

    print() #formatting

    print("Pi raised to the power of", power, "exceeds 10,000 with a result of", result)

    print() #formatting