I don’t use Microsoft Excel all that often, so it remains a bit of a mystery to me. I can enter text and create graphs and that’s basically it. That’s why I’ve set myself a goal to learn one new Excel ...

A new Agent Mode comes to Office apps today, alongside an Office Agent in Copilot chat. is a senior editor and author of Notepad, who has been covering all things Microsoft, PC, and tech for over 20 ...

Excel is the world’s most versatile data modeling tool—powering everything from household budgets to Fortune 500 profit and loss statements (P&Ls). Yet, the full power of Excel is available only to ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Exploratory Data Analysis (EDA) and data cleaning script for a cafe sales dataset. Handles missing values, errors, and generates insights on transactions, sales trends, and correlations using Python ...

There’s a transformative shift underway in financial services—one that’s hiding in plain sight, buried in your enterprise and client documents. For decades, documents have been viewed as a burdensome ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

Working with large datasets in Excel often presents challenges, particularly when clarity and organization are essential. Dynamically inserting blank rows between items is a highly effective method to ...

Managing data in Microsoft Excel often requires splitting cells into columns or rows to improve organization and usability. Whether you’re handling simple lists or working with complex datasets, Excel ...