From 189c948b161d333bc80205ba6f134139f482b5b5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ken=20Marc=20R=C3=B6lli?=
 <79468446+ken-r@users.noreply.github.com>
Date: Fri, 15 Aug 2025 08:44:37 +0200
Subject: [PATCH 1/2] Fix scipy exercise hints

Two exercise hints in the scipy lecture are not fully accurate.
---
 lectures/scipy.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lectures/scipy.md b/lectures/scipy.md
index 5b916f39..0f72a163 100644
--- a/lectures/scipy.md
+++ b/lectures/scipy.md
@@ -476,7 +476,7 @@ over the interval $[0, 400]$ when `μ, σ, β, n, K = 4, 0.25, 0.99, 10, 40`.
 ```{hint}
 :class: dropdown
 
-From `scipy.stats` you can import `lognorm` and then use `lognorm(x, σ, scale=np.exp(μ)` to get the density $f$.
+From `scipy.stats` you can import `lognorm` and then use `lognorm.pdf(x, σ, scale=np.exp(μ)` to get the density $f$.
 ```
 
 ```{exercise-end}
@@ -512,7 +512,7 @@ plt.show()
 ```{exercise}
 :label: sp_ex02
 
-In order to get the option price, compute the integral of this function numerically using `quad` from `scipy.optimize`.
+In order to get the option price, compute the integral of this function numerically using `quad` from `scipy.integrate`.
 
 ```
 

From 664e33f59a0e9bdbd669756f1b4a6539e22bf03a Mon Sep 17 00:00:00 2001
From: Matt McKay <mmcky@users.noreply.github.com>
Date: Fri, 15 Aug 2025 17:25:51 +1000
Subject: [PATCH 2/2] Update lectures/scipy.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---
 lectures/scipy.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/scipy.md b/lectures/scipy.md
index 0f72a163..1fdf834e 100644
--- a/lectures/scipy.md
+++ b/lectures/scipy.md
@@ -476,7 +476,7 @@ over the interval $[0, 400]$ when `μ, σ, β, n, K = 4, 0.25, 0.99, 10, 40`.
 ```{hint}
 :class: dropdown
 
-From `scipy.stats` you can import `lognorm` and then use `lognorm.pdf(x, σ, scale=np.exp(μ)` to get the density $f$.
+From `scipy.stats` you can import `lognorm` and then use `lognorm.pdf(x, σ, scale=np.exp(μ))` to get the density $f$.
 ```
 
 ```{exercise-end}