Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

In this tutorial, we'll break down how to use Python in Excel, perfect for beginners. No coding experience? No problem! We'll guide you through getting started with Python in Excel and show you how to ...

Microsoft has rolled out several Excel updates this month, among which deeper Copilot integration is integral part of it. At a time when AI tools are becoming more embedded in productivity software, ...

These tricks show how AI tools, new import formulas, and classic features improve productivity. Excel has outlasted many tech trends, and in the age of AI, it remains very much in the mix. While new ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

Spreadsheet apps like Microsoft Excel and Google Sheets are used worldwide to organize and analyze data, but getting the right information into them isn’t always straightforward. Businesses often need ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Integration for Jupyter notebooks and Microsoft Excel. See the Python Jupyter Notebooks in Excel blog post for more details. Once installed a "Jupyter Notebook" button will be added to the PyXLL ...