In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...

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Python has made using Microsoft Excel much easier than it has ever been, and it isn't very hard to start using it yourself.

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for ...

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, ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

You might think of Microsoft Excel as just rows and columns, a place for basic calculations and simple charts. And while it certainly excels (no pun intended) at those fundamental tasks, the recent ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

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 ...