These are my go-to libraries for Python data crunching.

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

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for ...

If you leave "just the draft" to AI, your team's email correspondence will become much lighter. 5 minutes per email reply. 10 emails a day means 50 minutes every day. That's about 17 hours a month, ...

At 2:00 AM in the lab, when an Excel graph crashed due to an unknown error, I once looked at my classmate next to me and we laughed, saying, "Isn't it about time we just went to sleep?" Many KOSEN ...

A Python library for reading, editing, and saving Excel (.xlsx) workbooks. It wraps openpyxl with a higher-level API for row-by-row reading, cell access, lock detection, and workbook persistence. load ...