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

Abstract: Deep neural networks (DNNs) are sensitive to adversarial examples which are generated by corrupting benign examples with imperceptible perturbations, or have significant changes but can ...

A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...

If you’re a beginner photographer there’s perhaps no simpler compositional rule to master than filling the frame. This often-touted photography ‘hack’ has become a bit of an instructional buzzword ...

Pandas Groupby actually works pretty well out of the box for nested-pandas use cases, things like below work natively because the pandas groupby object actually preserves the nestedframe dtype of the ...

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...

Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, ...