python

R version 4.0.0 was released almost two years ago. The change in the major version, 3.x.y to 4.0.0, represented significant and potentially breaking changes. For an organisation to start using these new features, everyone in the company must have access to that version; otherwise code isn’t shareable. This naturally slows down adoption. We moved our internal R projects to depend on version R 4.0.0 around twelve months ago - a few months after the release date.

In November 2021, I took part in the third edition of the 30 Day Map Challenge created by Topi Tjukanov. Participants are given a theme for each day of November, and are tasked with creating a map within that theme. Details of the challenge can be found here. My own contributions can be found on GitHub. Creating thirty maps was indeed a challenge, but over the course of the month I developed a process for approaching the problem.

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 or infrastructure please read on! Who are we and what do we do? Jumping Rivers is an analytics company whose passion is data and machine learning. We help our clients move from data storage to data insights.

This blog post was written by our intern Osheen Macoscar. 2020 is a year most of us would like to leave behind. But not all change is bad, and many interesting developments, especially in education, happened due to the constraints imposed by COVID. Like many other training providers, we had to pivot to online learning, which brought with it challenges but also new opportunities. This review will hopefully offer some insight into what the year looked like for our trainers and training course attendees with some key facts and figures along the way.

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 or infrastructure please read on! Who are we and what do we do? Jumping Rivers is an analytics company whose passion is data and machine learning. We help our clients move from data storage to data insights.

Good news! In tandom with the loosening of lockdown restrictions, Jumping Rivers has released the updated 2021 public, online training course schedule. We are offering courses across multiple programming languages, including R, Python, Stan, Scala and git. In the past year, we have converted all of our courses to be online friendly and have recieved great feedback in relation to interactivity, course structure and overall attendee satisfaction. Some examples of feedback we have recieved can be seen below:

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. Not only have we broken new boundaries, we have recruited new full-time staff which have furthermore contributed to the glowing success of the company.

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 OSS Index developed by Sonatype is a free catalogue of open source components and scanning tools to help developers identify vulnerabilities, understand risk, and keep their software safe. The {oysteR} package is an R interface to the OSS Index that allows users to scan their installed R packages.

Jumping Rivers is a data science consultancy company focused on R and Python. We work across industries and throughout the world. We offer a mixture of training, modelling, and infrastructure support. Jumping Rivers is an RStudio Full Service Certified Partner. Location: We are based in Newcastle upon Tyne. However, since the creation of the company we have encouraged remote working. Half of the team are remote (Leeds, Lancaster, Edinburgh). To make remote working a possibility, you need a) a good internet connection and b) within a few hours of (train) travel to London or Edinburgh.

So RStudio Connect has embraced Python and now runs Flask applications! At Jumping Rivers we make a lot of use of R, shiny, and Python for creating visual tools for our clients. Shiny has a lot of nice features, in particular it is very fast for prototyping web applications. Over our morning meeting we discussed the fact that flask will soon be coming to RStudio products and wondered how easy it would be to recreate one of the simple shiny examples as a flask application.