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

The power of Python trumps Excel workbooks.

openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It was born from lack of existing library to read/write natively from Python the Office Open XML format. All kudos to ...

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 ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Excel to SQLite simplifies the process of importing Excel data into SQLite databases. It provides automatic schema detection, data transformations, validation rules, and includes an intelligent ...

What if the Excel you know today could completely transform the way you work tomorrow? Below Jon from Excel Campus explores how the new 2026 updates to Microsoft Excel aren’t just incremental ...

When the Mojo language first appeared, it was promoted as being the best of two worlds, bringing the ease of use and clear syntax of Python, along with the speed and memory safety of Rust. For some ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

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 ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...