Summary  
Demonstrates using a Python library to programmatically manipulate structured data files, including reading and writing data, formatting content, navigating multiple sections, and generating charts.

General domain of usage  
Excel spreadsheet automation

### Welcome to Excel Automation with openpyxl!

Unlock the power of Python to effortlessly manage Excel spreadsheets with the dynamic openpyxl library. Here’s what you need to get started and what you can achieve:

- **Easy Setup**: simply use `pip install openpyxl` to get started;
- **Basic Operations**: navigate sheets, populate cells, and enhance spreadsheets with custom formats using just a few lines of code.
#### Key Features:

- **Read and Write**: effortlessly handle Excel data;
- **Cell Formatting and Charts**: customize your spreadsheets down to the finest detail;
- **Manage Multiple Worksheets**: easily handle numerous sheets and named ranges;
- **Large Data Sets**: streamline your data handling processes with robust tools.

### Project Hints for Success:

- Each code block is named after the chapter it belongs to, making it easy to find and follow along;
- Take your time and progress through the chapters sequentially. Each chapter contains specific hints that aid in solving the related code blocks;
- Each code block comes with its own test case, equipped with hints to help you resolve any issues;
- Watch short video to get a visual and practical understanding of how to work with the workbook.


In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.