05-10-2024, 01:35 AM
Parallel Programming with R and RStudio: Complete Tutorial
R Programming, RStudio, Parallel Computing, Multicore, R for Data Science, R Speed Optimization
Rating: 4.7 out of 5
(4 ratings)
1,026 students
1.5 hours on-demand video
1 article
1 downloadable resource
Description
Parallel Programming with R and RStudio: Complete Tutorial Guide!
In this course, we'll start by introducing the fundamentals of parallel programming with R, breaking down how it works.
With Udemy's 30-day money-back guarantee in place, there's no need to worry if the class doesn't meet your expectations.
Following that, we'll walk through examples of R code that's slow and needs speeding up.
We'll then download R, install, and explore the R packages designed for this, discussing the advantages and disadvantages of each tool. We will learn how the R Compiler can be leveraged to optimize parallel programming processes.
The goal is to make the complex world of parallel programming with R accessible and practical for everyone.
Why R, RStudio, and Posit?
R is one of the simplest languages to learn and is very friendly with data manipulation.
R is open source and is part of a large community of developers that create and maintain packages we will explore during this course.
RStudio is probably the best IDE for programmers (also supports C++, Python, SQL, and other languages).
As of the end of 2023, R is rocking it with these cool numbers:
RStudio has an active user base of 3.5 million.
Posit cloud has a 65,000 userbase.
Over the year, an impressive 2 billion packages were downloaded.
https://www.udemy.com/course/parallel-computing-with-r-rstudio-complete-tutorial-guide/?couponCode=FREE59
Enjoy!
R Programming, RStudio, Parallel Computing, Multicore, R for Data Science, R Speed Optimization
Rating: 4.7 out of 5
(4 ratings)
1,026 students
1.5 hours on-demand video
1 article
1 downloadable resource
Description
Parallel Programming with R and RStudio: Complete Tutorial Guide!
In this course, we'll start by introducing the fundamentals of parallel programming with R, breaking down how it works.
With Udemy's 30-day money-back guarantee in place, there's no need to worry if the class doesn't meet your expectations.
Following that, we'll walk through examples of R code that's slow and needs speeding up.
We'll then download R, install, and explore the R packages designed for this, discussing the advantages and disadvantages of each tool. We will learn how the R Compiler can be leveraged to optimize parallel programming processes.
The goal is to make the complex world of parallel programming with R accessible and practical for everyone.
Why R, RStudio, and Posit?
R is one of the simplest languages to learn and is very friendly with data manipulation.
R is open source and is part of a large community of developers that create and maintain packages we will explore during this course.
RStudio is probably the best IDE for programmers (also supports C++, Python, SQL, and other languages).
As of the end of 2023, R is rocking it with these cool numbers:
RStudio has an active user base of 3.5 million.
Posit cloud has a 65,000 userbase.
Over the year, an impressive 2 billion packages were downloaded.
https://www.udemy.com/course/parallel-computing-with-r-rstudio-complete-tutorial-guide/?couponCode=FREE59
Enjoy!