R script to generat dataset

Seeking someone with good experiences of R and python and statistics. I need both a small python script and R script to as per the requirements below. 1. In Python script - I want a script that generates to generate array of random Gaussian values (500 sample/observations). Inputs will specify the mean, and the spread of the distribution. I think it can be done with this numpy function: [login to view URL] I need to run this on my apple mac terminal 2. R script - Generate single array of random Gaussian (normal) distribution So I need a R script I can run to generate the array. Specifically: a. to generate array of random Gaussian values b. in addition to the data, the script should also plot a graph of result - both distribution curve and in histogram. 3. Multiple version of point 2 I need a separate R script that replicates point 2 above, but it provides 8 sets of input so I can specify the inputs (mean, spread) for 8 different distributions. - the script will produce 8 distributions, - each array represents a variable/column of data in R - 8 plots of distribution curve, and 8 plots histogram. There is follow on task from this to run some statistical tests on the data in R. So statistics and R is essential.