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We’ve just passed an important milestone for diffify: our app for tracking Python and R package releases has just turned 1 year old! To mark this exciting occasion we are delighted to announce an “anniversary update” featuring numerous quality of life improvements. This post will outline the latest changes and tease at some exciting developments in the works… First, though, we would like to take this opportunity to thank everyone that continues to use the app and welcome any new users to the service.

We’re delighted to announce that we’ve been named a Finalist in the British Data Awards 2023. The British Data Awards is an annual quest to discover and celebrate data success stories. Organisations taking part this year range from FTSE 100 heavyweights, public sector pioneers, technology unicorns, fast-growing scale-ups, essential Not-For-Profits, and everything in between. A record 226 entries were received this year which means that competition to be named a Finalist proved to be particularly tough, so we’re especially pleased to be announced as a Finalist.

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! Data comes in all shapes and sizes. It can often be difficult to know where to start. Whatever your problem, Jumping Rivers can help. Keynote Speakers Julia Silge - Posit Julia Silge is a data scientist and software engineer at Posit PBC (formerly RStudio) where she works on open source modeling and MLOps tools.

As data scientists we often need to communicate conclusions drawn from data. Additionally, as more data is collected, our reports invariably need updating. This is where automated reporting tools such as Quarto come in! In this blog post we will look at how Quarto allows us to weave together text and Python code to generate reproducible reports. What is Quarto? Quarto is a technical publishing system built on Pandoc. By combining code with plain text, it allows you to create reports that can easily be updated when the data changes.

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! Conferences SatRdays London 2023 In April 2023 we will be hosting SatRdays at Bush House, London. SatRdays are low cost, not for profit events aimed to attract those who ordinarily wouldn’t be able to attend pricier events, or who can’t usually make it during the week.

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! Whether you want to start from scratch, or improve your skills, Jumping Rivers has a training course for you. Introduction to R Course Level: Foundation

This week, we’ve been reminding ourselves of some of the amazing talks from the Shiny in Production conference in October. The recordings are now up on our YouTube channel, for anyone to view! For a run down of the day and what you can expect from the videos, take a look at our recent Highlights blog. Do you require help building a Shiny app? Would you like someone to take over the maintenance burden?

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. Based on my personal experience, the field seems to concentrate humans who are detail-oriented, curious, impact-driven and tenacious to a fault. This A-type personality profile, while magical when applied to technical work, could reasonably also count as an occupational hazard.

It has been 6 months since the launch of Diffify, our website for comparing package releases. We are delighted to announce that, in addition to CRAN’s 20,000 R packages, you can now track 1600 popular Python packages! What’s included? The current criteria for a Python package to be included in Diffify are: The package is listed in the top 2000 PyPI packages according to download statistics. The package has had version releases since 1st May 2020.

Matplotlib is one of the longest standing and most comprehensive plotting libraries for Python. It is mostly used for creating static plots and its flexible customisation options make it a great choice for creating publication quality graphs. In this blog post we will look at formatting and colourmap customisation in Matplotlib, and how to set a consistent plotting style throughout a project. Note: If you wish to run the code snippets in this blog yourself you will need: