Module 13 - Programming with Python

This repository contains a demo project created as part of my DevOps studies in the TechWorld with Nana – DevOps Bootcamp.

Demo Project: Automation with Python — Working with Spreadsheets

Technologies used: Python, PyCharm, Git

Project Description:

• Write an application that reads a spreadsheet file and process and manipulate the spreadsheet

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Prerequisites

1. Install Python

Download from python.org/downloads, then verify the installation:

python3 --version

2. Install uv

curl -LsSf https://astral.sh/uv/install.sh | sh
# Verify
uv --version

3. Install an IDE:PyCharm

4. Create the virtual environment & install dependencies

uv sync

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1. List each company with respective product count

fromtypingimportcastimportopenpyxlinv_file=openpyxl.load_workbook('inventory.xlsx')
product_list=inv_file['Sheet1']
products_per_supplier= {}
forproduct_rowinrange(2, product_list.max_row+1):
supplier_name=cast(str, product_list.cell(product_row, 4).value)
ifsupplier_nameinproducts_per_supplier:
current_num_products=products_per_supplier[supplier_name]
products_per_supplier[supplier_name] =current_num_products+1else:
print("adding a new supplier")
products_per_supplier[supplier_name] =1print(products_per_supplier)

2. List each company with respective total inventory value

fromtypingimportcastimportopenpyxlinv_file=openpyxl.load_workbook('inventory.xlsx')
product_list=inv_file['Sheet1']
total_value_per_supplier= {}
forproduct_rowinrange(2, product_list.max_row+1):
supplier_name=cast(str, product_list.cell(product_row, 4).value)
inventory=product_list.cell(product_row, 2).valueprice=product_list.cell(product_row, 3).valueifsupplier_nameintotal_value_per_supplier:
current_total_value=total_value_per_supplier[supplier_name]
total_value_per_supplier[supplier_name] =current_total_value+inventory*priceelse:
total_value_per_supplier[supplier_name] =inventory*priceprint(total_value_per_supplier)

3. List products with inventory less than 10

fromtypingimportcastimportopenpyxlinv_file=openpyxl.load_workbook('inventory.xlsx')
product_list=inv_file['Sheet1']
products_under_10_inv= {}
forproduct_rowinrange(2, product_list.max_row+1):
inventory=cast(int, product_list.cell(product_row, 2).value)
product_num=cast(str, product_list.cell(product_row, 1).value)
# logic products with inventory less than 10ifinventory<10:
products_under_10_inv[int(product_num)] =int(inventory)
print(products_under_10_inv)

4. Write to Spreadsheet: calculate and write inventory value for each product

fromtypingimportcastimportopenpyxlinv_file=openpyxl.load_workbook('inventory.xlsx')
product_list=inv_file['Sheet1']
forproduct_rowinrange(2, product_list.max_row+1):
inventory=cast(int, product_list.cell(product_row, 2).value)
price=cast(int, product_list.cell(product_row, 3).value)
inventory_price=product_list.cell(product_row, 5)
# add value for total inventory priceinventory_price.value=inventory*priceinv_file.save('inventory_with_total_values.xlsx')