779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham
Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.
This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• All about the Tidyverse [04:46]
• Hadley’s favorite R libraries [17:10]
• The goal of Posit [30:29]
• On bringing multiple programming languages together [36:02]
• The principles for a long-lasting tech company [52:10]
• How Hadley developed ggplot2 [55:24]
• How to contribute to the open-source community [1:05:43]
Additional materials: www.superdatascience.com/779
337: Hadley Wickham Talks Integration and Future of R and Python
Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.
In this episode you will learn:
Hadley’s R packages [8:26]
Better integrations between R and Python [20:11]
LinkedIn Q&A [33:34]
useR Conference vs. RStudio Conference [50:46]
LinkedIn Q&A: Career-related questions [1:01:06]
LinkedIn Q&A: Future-related questions [1:08:01]
Additional materials: www.superdatascience.com/337
211: Working on Apache Spark & R Package Development
In this episode of the SuperDataScience Podcast, I chat with the software engineer at RStudio, Javier Luraschi, who has ton of passion for RStudio and developing packages, Apache Spark, Big Data and Big Compute. You will learn about Big Data and the whole history of Big Data, about Apache Spark, why it was created, what is used for, how it compares with Hadoop, how it’s developed through the time and how it’s developing now. You will also hear about package development in RStudio and some exciting things happening in that space.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/211
171: Deep dive into R Programming & R Studio
In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will hear about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and learn about analytics infrastructure & how this can be used in the data lab and the production environment.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/171