(ICYMI) RPweave: Unified R + Python + LaTeX System using uv
Introducing RPweave, a unified document system that seamlessly integrates R, Python, and LaTeX for reproducible research and professional typesetting.
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Data science news and tutorials - contributed by Python bloggers
Data science
Announcing AI in Production 2026: A New Conference for AI and ML Practitioners
Registration is now open for our first AI in Production conference, taking place on 4 and 5 June 2026 in Newcastle Upon Tyne.
AI in Production is for people who want to see how AI works in day to day environments. The event brings together data s...
Elevate Your Skills and Boost Your Career – Free Jumping Rivers Webinar on 20th November!
Are you ready to stay ahead in the fast-evolving world of data? Join Jumping Rivers for our free
monthly webinar series designed for data professionals at all levels. In just 55 minutes, you’ll
gain practical insights, sharpen your skills, and ta...
Get Involved in the Data Science Community at our Free Meetups
As a data science consultancy, Jumping Rivers are already known for offering help and training to clients in all things data. But did you know that we also organise free, in-person data science meetups?
In this post we will talk through the typic...
Evaluating a New Job Market Data Feed
I’ve recently been given early access to a service that provides data on job listings published by a wide range of companies. The dataset offers a near real-time view of hiring activity, broken down at the company level. This is a potentially valuable signal for tracking labour market trends, ...
Polars and Pandas – Working with the Data-Frame
Biodiversity.
We’d like more of it.
More of each thing, and more different types of thing.
And more of the things that help make more of the different types of thing.
But can you have too many things?
In Data Science we are often working wi...
How to Prevent Account Takeover: Best Practices for Securing Your Digital Identity
Account takeover has become one of the most pervasive and damaging types of online fraud. As businesses continue to digitalize and users rely on online services for everything from banking to social media, cybercriminals are constantly searching for ways to exploit weak points in user authentication. Understanding how account takeover ... [...Read more...]
Highlights from Shiny in Production (2025)
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...
Python for Data Privacy
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. ...
Bokeh-Manipulating Glyph Color in Python VIDEO
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.
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