The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Tools like Excel and Google Sheets are ubiquitous these days, and learning how to use them more effectively will quickly ...

Other versions of Excel may work differently. Extracting, parsing, or splitting data using TEXTSPLIT is an easy process. Occasionally, we receive data in formats that are unreadable or unusable. To ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Is Excel's Clean Data button the ultimate time-saver for messy spreadsheets? Find out how it works, its quirks, and how it compares to Power Query ...

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 ...

Python dataclasses work behind the scenes to make your Python classes less verbose and more powerful all at once. Here's an introduction to using dataclasses in Python. Everything in Python is an ...

Servers in a data center in 2015. The data-center economy is booming in California, and Gov. Gavin Newsom doesn’t want to slow it down. The governor vetoed a bill on Saturday that would have provided ...