diff --git a/Exercise 1.ipynb b/Exercise 1.ipynb
index 4b326e4..1e51c64 100644
--- a/Exercise 1.ipynb	
+++ b/Exercise 1.ipynb	
@@ -25,7 +25,7 @@
     "-------------------\n",
     "**Hint 1:** The answer is not a single number but a distribution over probable rates of sign-up.\n",
     "\n",
-    "**Hint 2:** As part of you generative model you’ll want to use the binomial distribution, which you can sample from in R using the `np.random.binomial(n, p, size)`. The binomial distribution simulates the following process n times: The number of “successes” when performing size trials, where the probability of “success” is p.\n",
+    "**Hint 2:** As part of you generative model you’ll want to use the binomial distribution, which you can sample from in python using the `np.random.binomial(n, p, size)`. The binomial distribution simulates the following process n times: The number of “successes” when performing size trials, where the probability of “success” is p.\n",
     "\n",
     "**Hint 3:** A commonly used prior for the unknown probability of success in a binomial distribution is a uniform distribution from 0 to 1. You can draw from this distribution by running `np.random.uniform(0, 1, size = n_draws)`\n",
     "\n",