Upcoming Why R Webinar – JuliaR combining Julia and R

[This article was first published on Why R? Foundation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

This Thursday, December 17th at 7 pm UTC, as part of the Why R? Webinar series, we will be delighted to host Paulito Palmes, a research scientist in IBM Research Europe. He will be speaking about combining utilities and workflows of R and Julia to solve real life problems! Paulito will answer all your questions at the end of the session. Join us!


Check out our other events on this webinars series. To watch previous episodes check out the WhyR YouTube channel and make sure to subscribe!

Looking for more R news? Subscribe to our newsletter and stay updated on our events and the most relevant news about our beloved open source programming language.

And if you enjoy the content and would like to offer support, donate to the WhyR foundation. We are a volunteer-run non-profit organisation and appreciate your contribution to continue to fulfil our mission.


  • Paulito Palmes Paulito Palmes is a research scientist in IBM Research Europe. He has a PhD in computer science, a Master’s degree in AI and an undergraduate in Applied Math. His research interests cover applications in the following areas: biomedical engineering, IOT, evolutionary computing, context-aware computing, AutoML, RL, datamining, and optimization.

Talk description

JuliaR: combining Julia and R utilities and workflows to solve problems

Julia’s main design is for HPC (high-performance computing) while R’s original design is meant for statistical computing. With huge amount of data becoming a norm nowadays, having both features are ideal to attack problems related to data science and machine learning. This talk will demonstrate how Julia and R features and packages can be used as complementary utilities to solve real problems. The approach adapts the unix pipeline workflow of solving problems by stitching together a set of small utilities from JuliaR that when combined in a certain way becomes an optimal solution to the problem. These small utilities if properly designed encourages reusability, seamless integration of Julia and R utils, and easy explainability of the entire workflow.

This event is part of a series sponsored by Jumping Rivers. For more information, check out the JR and WhyR partnership announcement.

Jumping Rivers is an advanced analytics company whose passion is data and machine learning. Our mission is to help clients move from data storage to intelligent data insights leveraging training and setup for data operations with world-leading experts in R and Python.

We offer courses in analytics, data visualisation and programming languages. From individuals to teams, we have what is needed to upscale your skills.

Our courses go from introduction to R and Python to advanced statistical models.

Check out the course dates for 2021.

Questions? Contact us directly.


Jumping Rivers | Twitter | Linkedin

To leave a comment for the author, please follow the link and comment on their blog: Why R? Foundation.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)