filmov
tv
779: The Tidyverse of Essential R Libraries and their Python Analogues — with Dr. Hadley Wickham
Показать описание
#Tidyverse #RProgramming #RLibraries
Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to @JonKrohnLearns 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.
In this episode you will learn:
• [00:00:00] Introduction
• [00:02:55] All about the Tidyverse
• [00:15:19] Hadley’s favorite R libraries
• [00:28:39] The goal of Posit
• [00:34:12] On bringing multiple programming languages together
• [00:50:19] The principles for a long-lasting tech company
• [00:53:34] How Hadley developed ggplot2
• [01:03:52] How to contribute to the open-source community
Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to @JonKrohnLearns 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.
In this episode you will learn:
• [00:00:00] Introduction
• [00:02:55] All about the Tidyverse
• [00:15:19] Hadley’s favorite R libraries
• [00:28:39] The goal of Posit
• [00:34:12] On bringing multiple programming languages together
• [00:50:19] The principles for a long-lasting tech company
• [00:53:34] How Hadley developed ggplot2
• [01:03:52] How to contribute to the open-source community
1:26:09
779: The Tidyverse of Essential R Libraries and their Python Analogues — with Dr. Hadley Wickham
0:00:58
Why All Data Scientist Should Use R
0:01:00
The Python Equivalent of R's Tidyverse
0:00:51
Hadley Wickham's Favorite R Library
0:03:04
Hadley Wickham’s Favorite R Tidyverse Libraries
0:00:40
Maximizing Flow State with Tidyverse
0:00:58
Marrying R and Python
0:04:55
Hadley Wickham on R vs Python
0:00:57
Piping (in R) vs Method Chaining (in Python)
0:02:36
Why Did RStudio Become Posit?
0:14:18
Essential R to learn for statistics and data science in 2024
0:05:11
Shiny: Build Robust Web Apps in Minutes with Python or R
0:03:05
Quarto: Text + Code Documents Made Easy and Beautiful
0:21:26
How To Create Interactive Maps with R | Step-By-Step Tutorial
0:16:38
Simple Linear Regression.
1:25:12
R-Ladies Bergen (English) - 'Making and publishing your first R package' - Sarah Popov
0:43:49
Tidy Tuesday Screencast: tidying invasive species data with R and Python
1:29:08
Clase Prueba Data Science DEV.F
Комментарии