Imagine having to create accounts for 10,000 employees on a website. Sounds overwhelming, right? Doing this manually would be a nightmare – it's tedious, time-consuming, and honestly not a great idea.
Now, think about data entry workers. They extract information from tables, maybe in Excel or Google Sheets, and then input it somewhere else. They read through various sources, gather data, and enter it into a database. On top of that, they have to do calculations for the entries.
Their pay often depends on how much data they handle – the more they process, the more they earn. But let's be honest, doing the same repetitive task over and over can get pretty boring.
So, the question is, how can we make this process faster? How can we automate our work?
Well, here's an idea: spend some time coding. Instead of doing these tasks manually, you can write a few lines of Python code to automate the whole thing. It's like a shortcut to make your life easier and save you from the monotony of repetitive tasks.
Openpyxl
The Openpyxl Python module is employed for interacting with Excel files, allowing users to both read from and write to them. Data scientists leverage Openpyxl for various tasks such as data analysis, copying data, mining information, creating charts, styling sheets, incorporating formulas, and more.
Read more below
Automate an Excel Sheet in Python
How To Automate an Excel Sheet in Python, excel sheet automation in python, python excel automation
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