With Christmas just around the corner, we built a Christmas Naughty List using machine learning 🎄🤖 Using a fictional dataset, we walk through a full ML workflow in R, from feature engineering to a simple Random Forest and a clear visual. Check it out here: www.jumpingrivers.com/blog/christm...

Updated an R or Python package and something broke? Diffify lets you compare package versions from CRAN and PyPI before you upgrade. 📝 Release notes 🔗 Dependencies 🧩 Function changes See what changed first: diffify.com

As the year winds down, we have something to look forward to in January. Our first Leeds Data Science Meetup of 2026 focuses on operational AI and modern data governance, with real-world examples you can take back to work. Jan 20, Leeds Details here: www.meetup.com/leeds-data-s...

Is #Figma worth using for dashboard design? Interactive prototypes help teams test structure and flow early, reduce rework, and speed up feedback. For small dashboards, coding first can work. For more complex apps, early prototyping often pays off. Read more: www.jumpingrivers.com/blog/what-is...

Submitting a conference abstract for the first time can feel intimidating. Conferences are looking for clear, practical talks, not job titles. The Call for Proposals for AI in Production 2026 is open. We also maintain a list of upcoming meetups and R-focused conferences. Links in the thread.

Many teams learn R, Python, SQL, Shiny, or ML on the go, which leads to uneven skills and slower delivery. Our 2026 training focuses on practical learning taught by data scientists with real project experience. More info: www.jumpingrivers.com/training

Parallelising API calls in Python does not have to mean rewriting everything. This post shows how to identify I/O bottlenecks, remove small Pandas inefficiencies, and run independent requests in parallel with ThreadPoolExecutor. www.jumpingrivers.com/blog/python-... #Python #DataEngineering

If your Shiny app works with a mouse and looks fine on your screen, it may still be unusable for some users. Issues like missing alt text, ARIA misuse, or loose WCAG checks often surface too late. This Thursday’s free webinar shows how to catch them earlier. 🕐 13:00 UK time Register:

Validation often shows up only when something breaks. The Litmusverse helps teams spot risk in their R package stack earlier, whether you are in research, the public sector, or industry. Built for regulated use, useful far beyond it. #Litmusverse #RStats #SoftwareQuality

R package validation is not always straightforward. Security, licensing, maintenance, and test coverage can point in different directions. Litmus and diffify help teams make clearer choices. For a simple overview, watch Colin Gillespie’s posit::conf 2025 talk: @posit.co

AI in Production 2026 is happening on 4–5 June in Newcastle Upon Tyne, and we’re looking for speakers. If you work with AI or ML in a hands-on way and have lessons others can learn from, we’d love to see your abstract! Workshops run on day 1, talks on day 2. Abstracts close 23 January.

We’re #hiring at Jumping Rivers! Data Scientist: Work on client projects, modelling, dashboards, and training. Looking for 2–3 years of experience in data science. 📍 Newcastle upon Tyne (UK-wide considered) Apply: jumping-rivers.welcomekit.co/jobs/data-sc... #TechJobs #DataScience

Are your Shiny apps meeting accessibility and WCAG standards? Our final webinar of the year covers alt text, ARIA, and WCAG basics. 11 Dec 2025 · 13:00 UK · Free and online Register: jumpingrivers.typeform.com/to/UmdyNbAs

#MLOps starts with a few core pieces: versioning, serving, and monitoring. Vetiver brings them together in a setup that works locally and in production. For a deeper walk-through, check out Myles’ talk from posit::conf(2025). Link to the talk: youtu.be/C9tTH1iTxvY?...

We took part in a hackathon hosted by the Department for Energy Security and Net Zero, with support from @databricks.bsky.social Our very own Myles Mitchell worked on solar PV household energy data, and his team finished first in a close match! 🎉 Thanks to the organisers and everyone who joined!

We’ve trained learners across many sectors, and their feedback is consistent: hands-on coding, clear explanations, supportive instructors, and materials you can reuse later. January courses are open, with more from Jan–June 2026. Check out upcoming courses: www.jumpingrivers.com/training/pub...

Great night at the Leeds Data Science Meetup 🎉 Huge thanks to our speakers and to Platform, who’ve hosted us for three years. Expect more sessions like this at AI in Production 2026 — submit a talk: ai-in-production.jumpingrivers.com/ Next meetup: www.meetup.com/leeds-data-s...

#AI in Production 2026 is now open for speaker submissions and registration! Date: 4–5 June, 2026 CFP deadline: 23 January 2026 Visit our website for more details: ai-in-production.jumpingrivers.com

The Leeds Data Science Meetup is tomorrow, and both sessions are packed with insights on working with LLMs. One talk walks through how coding assistants behave on real projects. The second introduces gSMILE, a simple way to see which words in a prompt shape a model’s output.

We have two exciting events tomorrow! Join us online and in person. 13:05 GMT - #MachineLearning with #Python with Aida Gjoka (online) 18:00 GMT - Programming with LLMs in #R and Python with Myles Mitchell (Newcastle) Both events are free. Registration links are in the comments #DataScience

It’s been such great energy at PHUSE EU Connect! Esther and Amieroh have been meeting plenty of thoughtful people throughout the day. If you’re here, come find us at the Jumping Rivers stand. Always happy to chat. #PHUSE

If you want to strengthen your machine learning skills with Python before 2026, join our free session this Thursday, 20 November at 13:05 BST with Aida Gjoka. Learn the basics in 55 minutes, pick up steps you can use straight away and unlock exclusive discounts! #DataScience #MachineLearning

Hello from Hamburg! PHUSE EU Connect is underway, and we’re excited to be here. If you’re attending, come say hello to Esther and Amieroh. #PHUSE

We’re hiring a Junior Systems Administrator! If you like solving problems, working with Linux, and keeping systems running smoothly, you’ll fit right in at Jumping Rivers. Find out more on our website. #Hiring #TechJobs #Linux #SystemsAdmin #JumpingRivers

We're hosting two meetups this month: 📍 20 Nov – Newcastle Myles Mitchell: Programming with LLMs in R & Python 🔗 www.meetup.com/newcastle-up... 📍 25 Nov – Leeds Dan & Dr Zeinab: LLM tools & explainability 🔗 www.meetup.com/leeds-data-s... Come join us 👋 #DataScience #AI

We’re at ISPOR Europe 2025, and you can find us at stand 1115. If you’re around, come say hi. We’re chatting about R, Python, Posit, and how teams build analysis platforms. Esther and Colin are here all through the event. We’ve got resources, hex stickers, and goodies! #ISPOREurope #RStats

We’ll be at ISPOR Europe 2025 in Glasgow from the 9th to the 12th! Looking forward to a few days of good conversations about data, open-source tools, and patient-centred innovation. If you’re attending, come say hi at the booth and look out for Esther and Colin from our team. #ISPOREurope

The inaugural @rainbowr.org #rstats conference has just been added jumpingrivers.github.io/meetingsR/ Thanks @statsrhian.bsky.social

In our latest blog post we compare the syntax of two Python libraries, Pandas and Polars for standard data-manipulation tasks. #python #polars #pandas

We wrapped Shiny in Production 2025 in Newcastle last week! It was two days of practical talks, async demos, UI sessions, and Shiny projects from healthcare, government, and research. Missed it? Our recap blog walks through everything we covered. #RStats #Shiny #DataScience #Python #OpenSource

Data dashboards are our passion at Jumping Rivers. Earlier this year, we created a gallery to demonstrate our application-development capabilities. #Rstats #Data #Dashboards

We are happy to share that we'll be at ISPOR Europe next week. If you are attending come by, and say hello! #Rstats #Conference #Networking

Creating well-structured Python packages is essential for reproducible, scalable code. In our blog series, we demonstrate how to use Poetry to create a Python package. #Python #Poetry #SoftwareDevelopment #PackageManagement

Diffify is a platform that compares different versions of R packages (from CRAN) and Python packages (from PyPI). It helps you quickly see what's changed between the package version you're using and newer releases, including updates from NEWS files, dependencies, namespaces, functions. #R #Python

If your Posit Team products setup isn't working for you, or you've encountered bugs, our Posit Health Check is for you. Our team of Posit experts can review your configuration for you and ensure it's set up correctly, so you can get the most out of your Posit products. #PositHealthCheck

Just added Bioc 2026 to the list of next year's #rstats conferences jumpingrivers.github.io/meetingsR/

In our latest post in our Python package development blog series, we discuss how to create a package in python, add documentation, testing and publish to PyPI. #datascience #package #development #python

Python 3.14 was released on 7th October. In our latest blog post we summarise the most interesting changes to the Python ecosystem in 2025 that affect data science. #Python #DataScience

Just added @posit.co Conf 2026 to the list of conferences. Let us know if we've missed any! #rstats jumpingrivers.github.io/meetingsR/ev...

First #rstats conference of 2026 added to jumpingrivers.github.io/meetingsR/ev... @user-conf.bsky.social 2026 in Poland

Our latest blog post is about Kubernetes! Our very own Shane Halloran shares real-world lessons from deploying Posit Workbench on Azure Kubernetes Service (AKS), including practical debugging tips, and the importance of looking beyond the cluster when issues arise. #RStats #Kubernetes #Azure

Do you have a package you want us to assess at #positconf? Let us know, and we’ll present the results at the lunch and learn. jumpingrivers.typeform.com/to/FfWU3pV1 #rstats

In our latest blog post we introduce the ARIMA framework for time series forecasting and demonstrate the process using a real world example with Python. www.jumpingrivers.com/blog/time-se... #DataScience #python #timeseries

For quite some time, AI had kept it's grubby little hands out of the music production world. To learn more about the impact of AI in music production read out latest blog post! #AI #MusicProduction #DataScience

The Shiny in Production Conference is fast approaching — and we couldn’t make it happen without the incredible support of our sponsors! A big thank you to: - Posit - ThinkR - Datacove - Newcastle University Solve - CRC Press - R Consortium #RStats #DataScience #ShinyInProduction #Sponsors

In our latest blog post, our Data Scientist Osheen MacOscar shares a great overview of how to use {ggplot2} and {gganimate}, when dealing with spatial data. #rstats #datavis #spatialdata #maps

Web content accessibility is an important topic to consider when building web based applications. {shiny} is an excellent tool that allows data practitioners a relatively simple, quick approach to providing an intuitive user interface to their R code via a web application. #rstats #shiny

Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025. #rstats #rshiny #ShinyInProduction #conferences

Jupyter notebooks are a popular tool for data scientists using Python. They allow us to mix together plain text (formatted as Markdown) with Python code. In this post, we will show you how to produce reproducible PDF and HTML reports from a Jupyter notebook using Quarto. #rstats #python #quarto

We had an fantastic evening with our community, thank you to everyone who joined us. Special thanks to our speakers Colin Gillespie and Paul Goodman for delivering main talks, and to Aida Gjoka for leading the pre-event workshop. See you all at our next meetup in November! #DataScience #rstats