Publications by The Jumping Rivers Blog
First Steps in Python Testing
Programming is a craft, and in data science we often spend countless hours coding. There isn’t a magic shortcut to improving your programming skills. But, like any craft, improvement comes from practice: challenging yourself, exploring related skills, learning from others, and teaching.Testing code using automated tools is common throughout the s...
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Shiny in Production 2024: Full speaker lineup
We are pleased to announce the full line-up for this year’s Shiny in Production conference! This year, we’re introducing a new lightning talk session. These short 5 minute talks will allow us to showcase many more uses of Shiny in Production. The conference will still feature 6 full length talks, as well as a session of lightning speakers. Regi...
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Shiny in Production 2024: Workshops
Shiny in Production is returning to the Catalyst, Newcastle upon Tyne, for its third instalment this October. We’ve expanded the itinerary this year, with four workshops to choose from as well as a day of talks, with speakers soon to be announced. Full details of the workshop are below, and you can head over to the conference website to register....
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A timeline of R’s first 30 years
August 2023 marked the thirtieth anniversary of the first public release of the R programming language. To celebrate this, and to show how far the language has evolved across those three decades, the timeline below shows some landmark events, packages and papers (with some Jumping Rivers items thrown in for good measure). Have we missed any of your...
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Vetiver: Model Deployment
This is part one of a two part series on {vetiver}. Part 1: Vetiver: First steps in MLOps Part 2: Vetiver: Model Deployment (This post) Introduction In our previous blog, we provided an overview of MLOps and the {vetiver} package, creating and deploying a simple model locally. In this post, we’ll show you how to deploy a model to production usi...
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Vetiver: First steps in MLOps
This is part one of a two part series on {vetiver}. Future blogs will be linked here as they are released. Part 1: Vetiver: First steps in MLOps (This post) Part 2: Vetiver: Model Deployment (Coming soon) Most R users are familiar with the classic workflow popularised by R for Data Science. Data scientists begin by importing and cleaning the data...
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June 2024 Training Update
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. Already know the basics b...
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Shiny in Production 2024: Call for Abstracts
Call for abstracts now openWe 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. This event brings together industry experts, data scientists, and developers to explore the latest advancements and best practices in deploying Shiny applications in production se...
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SatRdays London 2024: Thanks for coming!
We wanted to say a huge thank you to everybody who attended SatRdays London 2024! It was brilliant to see you all there, and we hope you enjoyed the day as much as we did. Thank you to all of our speakers for your contributions, it was great to see such a range of talks and hear about the different ways you can use R in your fields. Of course the d...
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What’s new in R 4.4.0?
R 4.4.0 (“Puppy Cup”) was released on the 24th April 2024 and it is a beauty. In time-honoured tradition, here we summarise some of the changes that caught our eyes. R 4.4.0 introduces some cool features (one of which is experimental) and makes one of our favourite {rlang} operators available in base R. There are a few things you might need to ...
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