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

Overview PyCharm, DataSpell, and VS Code offer strong features for large projects.JupyterLab and Google Colab simplify data ...

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 ...

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 ...

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 ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Douwe Osinga and Jack Amadeo were working together at Sidewalk Labs, Alphabet’s venture to build tech-forward cities, when they arrived at the conclusion that most spreadsheet software doesn’t scale ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...