Python code for random sampling with replacement - Learn now

If you're looking to learn how to randomly sample with replacement in Python, you've come to the right place. Sampling with replacement involves selecting elements from a population and allowing them to be selected more than once. This can be useful in a variety of applications, such as Monte Carlo simulations and bootstrapping.

To perform random sampling with replacement in Python, you can use the random.choices() function from the built-in random module. The choices() function takes two arguments: the population to sample from, and the number of samples to select.

Here's an example of how to use the choices() function to randomly sample from a list of numbers:

import random

population = [1, 2, 3, 4, 5]
samples = random.choices(population, k=3)


In this example, we're sampling from a population of numbers 1 through 5 and selecting 3 samples. The output of this code might be something like:

[2, 5, 5]

Note that the same element can be selected more than once due to the fact that we're sampling with replacement.

In summary, if you're looking to perform random sampling with replacement in Python, the random.choices() function is a great tool to use. Simply provide it with the population to sample from and the number of samples to select, and you're good to go!

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