Create computer vision applications with a modern graphical user interface in Python using OpenCV and Python.

Learn how you can fine-tune visual language models for specific tasks

Go beyond static plots with matplotlib.

An accessible dive into correlation, base proportions, summary statistics, and uncertainty.

A Random Forest is a powerful machine learning algorithm that can be used for classification and regression, is interpretable, and doesn’t require feature scaling. Here’s how to apply it.

Applied to a very real problem: baking bread!

Explaining useful features every data analyst needs

In this writing, I discuss how the Generative AI (GenAI) system, DeepSeek, handles the request to suggest a tetrad color harmony that…

Auto differentiation and JIT compilation make a compelling case.

Visualize flood impact using elevation data

Data insights made simple

More than 350 million people are colorblind - Make sure they can read your visualizations.

Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.

Let’s observe the matter on the atomic level

A brief analysis using density estimation to compare the two-verdict and three-verdict systems.

A guide to building a front-end data application.