1. Aprender
    2. /
  2. Cursos
    3. /
  3. Parallel Programming in R
  • 1

    Introduction to Parallel Programming

    Gratuito

    Learn to identify those pesky speed bottlenecks in your R code. You will run a classic numerical operation in parallel and learn to check if it helps!

  • 2

    Parallel and foreach

    Use parallelism in R for a variety of situations while efficiently managing dependencies. Turn those slow loops into smooth-running machines!

  • 3

    Parallel Futures

    Dive deep into the use of futures in parallel programming. Learn to process vectors, lists, and data frames in parallel, all the while keeping your code easy to maintain.

  • 4

    Troubleshooting in Parallel

    Learn to manage memory for parallel processes. Make your code reproducible, and add efficient debugging to your parallel programming toolkit.

Initializing

Exercicio

Reproducible lottery results

You work as a programmer for an online lottery. By law, the winners have to be selected randomly and the selection has to be transparent.

In your workspace you have a list of lottery tickets, ls_tickets. There are 51 elements in ls_tickets, one for each US state. Each element of this list contains lottery ticket numbers. In your workspace, you have a function, lottery(), that randomly selects the winning ticket for each state. You are testing the lottery() function by applying it to ls_tickets in parallel using future_map(). The problem is that the winners are different every time you run this code. The furrr package has been loaded for you.

Instruções

100 XP
  • Create a configuration for future_map().
  • Set the seed at 4321 in the configuration.
  • Supply this configuration to future_map().