In a previous post, I walked through how Polars can be used to process larger-than-memory datasets without needing to setup and maintain a dedicated compute cluster. This was accomplished by taking advantage of the Polars LazyFrame. Unlike a regular DataFrame which executes operations immediately, a LazyFrame builds up a logical ...

In today’s data-driven world, strong analytical and programming skills are essential for success. Whether you’re just starting your data journey or looking to expand your expertise, Jumping Rivers offers training that combines real-world experien...

Modifying the glyphs in a Bokeh data visualization is another useful tool. The video below explains how to do this

The privacy of individuals in a dataset can be protected through the development of fake data. Using false numbers makes it much more difficult to identify individual people within a dataset. In this post, we will look at how to generate fake numbers and names using Python. Libraries & Data Preparation ...

The shift from traditional AI tools to agentic AI systems marks a fundamental change in how organisations operate. Yet whilst technical teams rush to implement autonomous agents, a critical question remains unanswered: Is your organisation’s culture ready for AI that makes decisions independently? For technical leaders navigating this transformation, ...

This post contains a riddle/puzzle related to T. Moudiki's situation, including files and code snippets in R, Python, and bash. The ZIP file with a lot of details is available for download. An update with hints is provided.

In an earlier post I talked about the Python in Excel initialization environment: I likened it to the starting lineup of packages that load every time you open a workbook. It’s what gives you access to pandas, seaborn, and all the other core tools right inside Excel, along with ...

LightSHAP is a new, lightweight SHAP implementation completely independent of the famous "shap" library.