Parallelize python code with R
Let this python code to be parallelized: import time def basic_func(x): if x == 0: return 'zero' elif x%2 == 0: return 'even' else: return 'odd' starttime = time.time() for i in range(0,10): y = i*i # time.sleep(2) print('{} squared results in a/an {} number'.format(i, basic_func(y))) print('That took {} seconds'.format(time.time() - starttime)) Do this in R: library(microbenchmark) library(parallel) microbenchmark({out1 <- parallel::mclapply(1:1000, FUN=function(x) {system("python3 essai.py", intern=TRUE)}, mc.cores = detectCores())}, times = 1L) microbenchmark({out1 <- lapply(1:1000, FUN=function(x) {system("python3 essai.py", intern=TRUE)})}, times = 1L)