Boost Your Career with Jumping Rivers Training
Published: November 27, 2025
Start 2026 strong with Jumping Rivers’ hands-on online training courses, designed to boost your skills, confidence, and career prospects in just a few focused hours.
Tag: Pybloggers
AI in Production 2026
Published: November 19, 2025
Registration is open for the first AI in Production conference, taking place in Newcastle Upon Tyne on 4 and 5 June 2026.
Jumping Rivers Webinar 4th Release
Published: November 17, 2025
Stay ahead of the curve with Jumping Rivers’ next free monthly webinar, 'Machine Learning with Python', where you’ll level up your data skills in just 55 minutes and unlock exclusive learning perks.
Get Involved in the Data Science Community at our Free Meetups
Published: November 13, 2025
Did you know that we organise free, in-person data science meetups? In this post we will talk through the typical format and topics at our meetups, along with some details for how you can get involved!
Polars and Pandas
Published: November 6, 2025
Here we compare the syntax of two Python libraries, Pandas and Polars for standard data-manipulation tasks.
Highlights from Shiny In Production (2025)
Published: November 3, 2025
This October, Jumping Rivers hosted the fourth installment of our conference "Shiny In Production". Here we summarise the talks and workshops that were presented.
Elevate Your Skills with JR Training
Published: October 28, 2025
Boost your data expertise with hands-on, expert-led training from Jumping Rivers. Our experienced data scientists deliver practical courses in R, Python, Git, AI, and more, designed to help you apply new skills immediately. With flexible online and in-person options, comprehensive materials, and tailored in-house programmes, Jumping Rivers empowers individuals and teams to thrive in today’s data-driven world.
What's new for Python in 2025?
Published: October 16, 2025
Python 3.14 was released in October. Here we summarise some of the more interesting changes and some trends in Python development and data-science over the past year.
Jumping Rivers Webinar 3rd Release
Published: October 13, 2025
Join our free Jumping Rivers webinar, “Understanding Posit: Ecosystem and Use Cases,” to discover how Posit tools like Connect, Workbench, and Package Manager can power scalable, collaborative data workflows.
Jumping Rivers Webinar 2nd Release
Published: September 15, 2025
Our free monthly webinar series is back, and the first session on 21 August – “Reports that Write Themselves: Automated Reporting with Quarto” was a fantastic success! It was wonderful to see the Jumping Rivers community grow, with so many data professionals joining, engaging, and sharing ideas.
Inside Jumping Rivers
Published: September 9, 2025
At Jumping Rivers, we streamline data workflows with engineering, automation, and analytics. We handle the tasks you can’t, optimise the ones you didn’t know could be improved, and work alongside your team to make operations easier, smarter, and faster.
Time Series Forecasting in Python
Published: August 28, 2025
We introduce the ARIMA framework for time series forecasting and demonstrate the process using a real world example with Python. Along the way we explore the time series analysis functions provided by the statsmodels library and cover best practices for selecting the ARIMA model parameters.
How We Do Training at Jumping Rivers: Seamless, Expert-Led, and Tailored to You
Published: August 12, 2025
When it comes to data science training, one size doesn’t fit all. At Jumping Rivers, we’ve built our reputation around delivering customised, expert-led training that actually fits your team’s goals, tools, and workflows - whether you're in healthcare, government, finance, or beyond.
Shiny in Production 2025: Sponsors
Published: August 5, 2025
Shiny in Production Conference is fast approaching and we wouldn't be able to put it on without the support of our sponsors!
Importing Data with Python
Published: July 17, 2025
Importing data is a key step in the data science workflow. How you import a dataset has consequences for how you work with that data throughout a project.
Jumping Rivers Webinar Launch
Published: July 8, 2025
Are you ready to expand your knowledge in R, Python, Shiny, and Posit while becoming a more valuable asset to your team? Jumping Rivers is here to help you do just that with our free monthly webinar series designed for data professionals at all levels.
Shiny in Production 2025: Lightning Talk Lineup
Published: June 24, 2025
We are pleased to announce the lightning talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!
Shiny in Production 2025: Full Length Talks
Published: June 17, 2025
We are pleased to announce the full length talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!
Why JR’s Training is Different
Published: June 9, 2025
At Jumping Rivers, we believe training should be more than just a tick-box exercise. It should be transformative. Whether you’re learning R, Python, SQL, Git or Posit for the first time or diving into advanced topics like machine learning and Quarto, our courses are built to help you actually use what you learn — not just watch someone code.
Rethinking Image Formats
Published: June 5, 2025
Adding images to a web page used to be easy. Now with high-resolution screens and an array of modern image formats it can feel like much more work. This post explains why things have become more complex and suggestions solutions for making life a little easier and web pages more performant.
Shiny in Production 2025: Workshops
Published: May 20, 2025
The details of all of our workshops for Shiny in Production are now live on the conference website. Read on for full details all in one place.
Advanced Testing in Python
Published: May 8, 2025
Writing tests is one of the best ways to keep your Python code reliable and reproducible. This post builds on our previous blog about Python testing with pytest, and explores some of the more advanced features it offers. We will show how to make your tests more reproducible, easier to manage and demonstrate how writing simple tests can save you time in the long run.
The Jumping Rivers Dashboard Gallery
Published: April 15, 2025
At Jumping Rivers we love data dashboards and are delighted to announce the release of a gallery to showcase our application-development skills.
Shiny in Production 2025: Abstracts Deadline Extension
Published: March 11, 2025
Due to popular demand we are extending the abstract deadline for Shiny in Production 2025, to be held on 8th-9th October 2025 in Newcastle upon Tyne, UK. Read on for more details on how to submit your work.
Vetiver: MLOps for Python
Published: February 27, 2025
Part 4 of our series of blogs on vetiver for MLOps. Having previously explained how to set up an MLOps workflow in R, we now turn to Python. This blog will introduce the vetiver package for Python and outline the key MLOps steps including model versioning, deployment and monitoring.
Shiny in Production 2025: Call for Abstracts
Published: February 17, 2025
We are excited to announce the Call for Abstracts for Shiny in Production 2025, to be held on 8th-9th October 2025 in Newcastle upon Tyne, UK. Read on for more details on how to submit your work.
Porting a Shiny App to Observable Framework: Part 2
Published: January 30, 2025
This post, Part 2 in a series of two, looks at styling and deploying the Observable Framework app we built in part 1.
Shiny in Production 2025
Published: January 23, 2025
The fourth instalment of Shiny in Production is back this October, hosted at the Catalyst in Newcastle upon Tyne, with super early bird tickets deadline for Shiny in Production ends on the 31st of January.
Porting a Shiny App to Observable Framework: Part 1
Published: January 16, 2025
This post, Part 1 in a series of two, looks at porting the functional code of a Shiny app - written in R - into JavaScript code to be used in an Observable Framework application.
Diffify & Posit Package Manager
Published: December 12, 2024
The latest version of Posit Package Manager allows us to add metadata to package pages. This means we can now directly link R and Python packages to diffify.com!
Training Lineup for 2025: January-June
Published: November 7, 2024
All of our public training courses for the first half of 2025 are now available to book! Head over to our public training webpage to book in and start building your programming skills in the new year! In this blog, we list all of our upcoming courses with a description, bookable dates, course level and a link to find out more.
First Steps in Python Testing
Published: September 5, 2024
Programming is a craft, and in data science we often spend countless hours coding. Software testing can improve the quality of the code you write as a data scientist. Here, we introduce the pytest framework and show how it can be used to test Python functions.
Shiny in Production 2024: Full speaker lineup
Published: August 8, 2024
We are pleased to announce the full line-up for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!
Shiny in Production 2024: Workshops
Published: July 4, 2024
The details of all of our workshops for Shiny in Production are now live on the conference website. Read on for full details all in one place.
June 2024 Training Update
Published: June 6, 2024
Our courses for the second half of 2024 have now been released. We have everything from the very basics of R and Python for data science, to advanced statistical modelling and machine learning. Interested in dashboards and reporting? We have courses on reporting with Quarto, as well as both introductory and advanced Shiny.
Shiny in Production 2024: Call for Abstracts
Published: May 30, 2024
We are excited to announce the Call for Abstracts for Shiny in Production 2024, to be held on 9th-10th October 2024 in Newcastle upon Tyne, UK. Read on for more details on how to submit your work.
SatRdays London 2024: Sponsors
Published: March 19, 2024
SatRdays London is fast approaching and we wouldn't be able to put it on without the support of our sponsors!
An introvert's guide to networking at a conference
Published: February 29, 2024
Conferences present a great opportunity to meet other professionals working in your field and lay the foundations for future collaborations. But what should you do if the idea of meeting new people puts you well out of your comfort zone?
SatRdays London 2024: Speakers
Published: February 27, 2024
SatRdays London is fast approaching and we are happy to announce our full lineup of speakers for the event! Read on for more info. If you want to join the fun, head over to the conference website to sign up!
A Blog Post About the Blog
Published: February 15, 2024
A very quick introduction to the new-look blog and tags pages and the brand new author pages.
Training Lineup for 2024: January-June
Published: November 28, 2023
All of our public training courses for the first half of 2024 are now available to book! Head over to the public courses page on our website to book in and start building your programming skills in the new year! In this blog post, we provide a list of all of our upcoming courses with a description, upcoming dates, course level and a link to the page to find out more!
Python Virtual Environments and Barbie
Published: November 16, 2023
Hey Barbie! I mean ... hey Python user! Have you ever wished that customising your Python environment could be as easy as trying different outfits on your Barbie? Well turns out it is! With virtual environments, you can create isolated Python projects with different dependencies and versions. Read our Barbie-themed guide to get started!
SatRdays London 2024
Published: November 14, 2023
SatRdays is returning to London in April 2024! We're excited to welcome you to Bush House again next year. Want to get even more involved? Read on to find out how you can submit an abstract for a talk!
Python Package Managers
Published: October 5, 2023
Python package managers are essential tools that help developers install, manage, and update external libraries or packages used in Python projects. These packages can contain reusable code, modules, and functions developed by other programmers, making it easier for developers to build applications without reinventing the wheel.
Shiny in Production: Sponsors
Published: September 28, 2023
There's only two weeks left to go until Shiny in Production 2023! The events team are hard at work getting things ready for the day, and we wanted to take this opportunity to say a huge thank you to our event sponsors!
Reproducible reports with Jupyter
Published: September 21, 2023
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.
posit::conf(2023)
Published: September 14, 2023
Our bags are packed, flights are booked, and we're ready to head stateside for posit::conf(2023). We're excited to be sponsoring the event this year, as well as presenting a few talks ourselves.
Shiny in Production: Full speaker lineup
Published: September 7, 2023
We are pleased to announce the full line-up for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts and speaker bios, to give you a full view of what to expect!
RSS International Conference 2023
Published: August 29, 2023
The Royal Statistical Society International conference is next week and Jumping Rivers are exhibiting at the conference, as well as delivering workshops and talks. The draft program can now be viewed online, so we wanted to let you know where you can find us at the event and some of the other sessions we are looking forward to.
July Training Update
Published: July 4, 2023
Embark on your programming odyssey with our extensive range of courses! Never written a line of code in your life? No stress - we offer a mix of introductory courses for beginners as well as more advanced courses for those looking to expand their knowledge further.
June Training Update
Published: June 6, 2023
This summer, we have public courses to take you all the way from the very basics of R, through to using R for statistical modelling, with some data wrangling and intermediate programming in between. Wherever you are on your R journey, take a look at our upcoming courses to see if we can help you on your way.
Diffify - the anniversary update!
Published: May 2, 2023
It's been just over a year since we introduced the world to diffify, our app for comparing package releases. To celebrate reaching this milestone, we're pleased to announce that an "anniversary update" has just gone live! Read on to learn about the latest changes and some exciting plans in the works…
We’re a British Data Awards 2023 Finalist
Published: April 11, 2023
We’re delighted to announce that we’ve been named a Finalist in the British Data Awards 2023. Read on to find out more about the awards, and the categories in which we are finalists!
SatRdays London 2023: Speakers
Published: March 7, 2023
SatRdays London is fast approaching, and we are happy to announce our full lineup of speakers for the event! Read on for more info. If you want to join the fun, head over to the conference website to sign up!
Quarto for the Python user
Published: February 2, 2023
As data scientists we often need to communicate conclusions drawn from data. Additionally, as more data is collected, our reports invariably need updating. In this blog post we will look at how Quarto allows us to weave together text and Python code to generate automated reports.
Events at Jumping Rivers
Published: January 24, 2023
At Jumping Rivers we're all about getting involved in the R community! As such, we host multiple events throughout the year. Read on for information about what we have planned so far for 2023!
December Training Update
Published: December 20, 2022
If you're thinking of picking up a new skill in the new year, take a look at our upcoming public training courses! We have plenty of introductory courses coming up, both online and in-person, so you can hit the ground running after the holidays!
Shiny in Production: Recordings
Published: December 6, 2022
Over the last two weeks, we have been releasing the recordings of the talks from our Shiny in Production conference! Read on to take a look for yourself!
Burnout in Data Professionals
Published: December 1, 2022
Data science and data engineering are incredibly cognitively demanding professions. As data professionals, we are required to leverage both our analytical/engineering skills and our interpersonal skills to be effective contributors within our organisations. In this blog, we discuss why this combination could reasonably count as an occupational hazard.
Diffify - Python release
Published: November 15, 2022
We are excited to finally release Python content on Diffify! You can now perform version comparisons for 1600 popular PyPI packages. Read on to learn about the new content, and our plans to expand this as we look to the future.
Customising figures in Matplotlib
Published: November 10, 2022
When creating graphs for a report or publication we usually want to ensure they follow a certain style. In this blog post we will look at formatting and colourmap customisation in the popular Matplotlib library.
Shiny for Python dashboard using Twitter data
Published: November 3, 2022
The arrival of Shiny for Python was announced at the RStudio Conference a few weeks ago. In this tutorial I will take you through how I created a simple Shiny for Python dashboard, with no experience using the framework in R.
Training course update - Autumn 2022
Published: October 18, 2022
Here at Jumping Rivers we like to keep our courses up to date so we can bring you training on the latest tools and technologies. To this end, we have recently added two new courses to our listing!
Refactoring Russian Doll Code
Published: October 6, 2022
Have you ever inherited a pile of messy code? Or perhaps you wrote some code a long time ago and it needs some TLC? Here are our tips for refactoring messy code.
API as a package: Testing
Published: September 29, 2022
Unit testing is an integral part of creating robust applications and codebases. Continuing the API as a package series we explore how you might set up unit tests with {testthat} for your API service.
API as a package: Logging
Published: September 22, 2022
Logging is crucial to understanding what's going on with an application as it runs. There are some good solutions to logging of R shiny applications but less so for plumber applications. Continuing the API as a package series we examine how you might add some automatic logging to your API service written in R using plumber and the logger package.
The Benefits of Learning Data Skills
Published: September 20, 2022
It will come as no great surprise that here at Jumping Rivers, we are huge advocates for learning data skills. There are many benefits to learning at least some basic data skills, even if you don't work explicitly with data.
API as a package: Structure
Published: September 15, 2022
Inspired by opinionated packages on {shiny} app development such as {golem} and {leprechaun}, Jumping Rivers adopted a similar pattern for producing a {plumber} API as a package for one of our client projects. This is one of a series of blog posts discussing the general structure of said package.
Python app deployment with RStudio Connect: Streamlit
Published: September 8, 2022
In this installment of our series on deploying to RStudio Connect we take a look at Streamlit. Streamlit enables quick and easy creation of web applications for machine learning and data science. We will go through a simple app and how to deploy it.
Python API deployment with RStudio Connect: FastAPI
Published: September 1, 2022
Next up in our blog post series on deploying Python APIs to RStudio Connect is FastAPI. FastAPI is a high-performance web framework for building APIs with Python. Read on to see how you can deploy your FastAPI apps with RStudio Connect!
Python API deployment with RStudio Connect: Flask
Published: August 25, 2022
RStudio Connect (soon to be Posit Connect) is a platform that provides the ability to deploy and share R applications and reports. However, it is not just for R developers (hence the name change). RStudio Connect also supports many Python applications, including Flask. In this blog we will look at how to deploy a Flask app to RStudio Connect.
Hello Shiny Python
Published: August 23, 2022
RStudio conf 2022 had some exciting reveals. Certainly one of the most interesting releases was that of shiny, the excellent web application development framework known in the R community, getting a Python release. Here we will take a first look at creating a simple application.
Highlights from rstudio::conf(2022)
Published: August 11, 2022
July 25 - 28 2022 saw thousands of people attend rstudio::conf(2022) from all over the world, including a few of us from Jumping Rivers. Here's a recap of the big news, and a few of our personal highlights from the conference!
Diffify - 3 months on
Published: August 9, 2022
What a few months it's been for Diffify, our new app for comparing package releases! We’ve been delighted with the enthusiastic response and quick adoption by the R community. Read on to learn about just some of many updates we’ve made to the app since launch day, and how we are actively addressing your feedback as we look to the future.
Jumping Rivers and the Data Science Community
Published: July 12, 2022
At Jumping Rivers, we love data science! Surprised? Didn't think so ... But, did you know that as well as providing training and consultancy, we also like to get involved with the data science community!
NEDS Meetup
Published: June 28, 2022
If you're based in the North East of England and you're looking for a place to discuss all things data science with like-minded people, then you might want to check out the North East Data Scientist (NEDS) Meetups!
An introduction to H2O
Published: June 9, 2022
H2O.ai is a company which develops products for easy, scalable, machine learning and artificial intelligence. This post will talk through who H2O.ai are and what software they provide for your machine learning needs.
New training courses
Published: June 7, 2022
The trainers here at Jumping Rivers have been busy developing a host of new courses for your programming pleasure! We have recently developed several new courses, which are now available to view on our course list.
Creating a Reproducible Example
Published: May 31, 2022
Complex software bugs are often difficult to reproduce. Unfortunately, without this reproducibility it can be hard to get help and input from others. In this post we discuss a particularly nasty bug we encountered and how we made it reproducible.
Stylising your Python code
Published: May 26, 2022
Have you ever wished your code could be as stylish as you? Linting is a process which helps ensure the format and style of your code adheres to best coding practices. Read on to learn about linters and auto-formatters, and start adding some PEP to your Python!
Forgotten features of R 4.0.0
Published: January 25, 2022
R 4.0 was released almost two years ago. However, the majority of R users didn't immediately adopt the new version due to obvious constraints when updating software. The consequence is that many of the new and useful features are forgotten about. This post highlights the features as we've moved to R 4.0.
Thinking about maps and ice cream
Published: December 21, 2021
Creating 30 maps for the 30 Day Map Challenge in November 2021 was indeed a challenge, but over the course of the month I developed a process for approaching the problem. This blog post will focus on the thought process behind creating maps rather than the technical aspects of writing the code.
Job vacancies at Jumping Rivers!
Published: December 15, 2021
In line with the continuous growth at Jumping Rivers, we are looking to expand our team of dedicated professionals working in our teams. If you are enthusiastic and keen to develop your skills in cutting edge data science disciplines or infrastructure please read on!
2020 Training Review
Published: October 22, 2021
Our annual training review is back! Like many other training providers, we had to pivot to online learning in 2020, which brought with it challenges but also new opportunities. The review will show you what the year looked like for our trainers and training course attendees, including which trainer taught the most courses!
Git: Moving from Master to Main
Published: October 19, 2021
In 2020, GitHub took the correct decision to change the default branch from master to main. For single, independent repositories, this is relatively straightforward. But moving groups or organisations is more complex and requires planning.
Job vacancies at Jumping Rivers!
Published: June 1, 2021
In line with the continuous growth at Jumping Rivers, we are looking to expand our team of dedicated professionals working in our teams. If you are enthusiatic and keen to develop your skills in cutting edge data science discliplines or infrastructure please read on!
Jumping Rivers 2021 Online Training Schedule
Published: May 18, 2021
Good news! We have updated our public course page with our new programme of courses, being delivered between May and November. Early bird offers & academic discounts currently available.
The (Delayed) 2019
Published: October 13, 2020
Don’t we all miss 2019 (blame Covid for the long delay in this post). The days of going to work and seeing your work colleagues face to face - and for some of you, attending one of our on-site training courses! 2019 was a great year for us.
Detecting Security Vulnerabilities in R Packages
Published: August 28, 2020
One of our main roles at Jumping Rivers is to set-up and provide ongoing maintenance to R, Python and RStudio infrastructure. This typically involves ensuring software is up-to-date and making sure everything is running smoothly. The {oysteR} package is an R interface to the OSS Index that allows users to scan their installed R packages.
