Python-bloggers

This October, Jumping Rivers hosted the fourth installment of our conference “Shiny In Production”. This year, speakers from around the world joined us in Newcastle to see how Shiny, in both Python and R, has solved real data problems...

Data privacy is a major topic among analysts who want to protect people’s information. There are often ethical expectations that personal identifying information is protected. Whenever data is shared, you want to be sure that individual people cannot be identified within a dataset, which can lead to unforeseen consequences. ...

The video below explains how to modify the color of glyphs when using Bokeh. Manipulating the color is another way to convey information about your data to the end user.

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, ...