Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Learning python automation isn’t just for coders anymore; it’s becoming a really useful skill for anyone who uses a computer ...

Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

Grok Code Fast 1 is available to test via GitHub Copilot, Cursor, Cline, Kilo Code, Windsurf, and similar platforms.

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

Beyond CSV files, Python in Excel supports connections to databases and APIs, expanding its applications for diverse data challenges and decision-making.

You can use Copilot to extract data directly from PDFs and turn it into usable content in your Excel spreadsheets. Learn how to convert PDF to Excel using Copilot.

What if you could run advanced Excel analyses with no coding skills? Here's how Microsoft's Copilot in Excel could use Python to allow you to do just that.

Slicers provide an intuitive, user-friendly interface for filtering data in a spreadsheet. Here’s how to create slicers, format them, and use them to filter data in Excel.

It’s simpler to read an Excel file in Python than in Java. As Pandas encapsulates structured computation function, Python gives stronger support of the subsequent computations than Java and VBA.

Python’s problem is that it doesn’t have batch processing methods for big Excel files that cannot be loaded into the memory at once. So you have to write complicated program for both reading and ...