diff --git a/data-science-for-esm/02-workshop-numpy.ipynb b/data-science-for-esm/02-workshop-numpy.ipynb
index 89588d8a..f37e80b3 100644
--- a/data-science-for-esm/02-workshop-numpy.ipynb
+++ b/data-science-for-esm/02-workshop-numpy.ipynb
@@ -1338,12 +1338,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "69786ae8c799a179d39b18fbc76c1e4e4ca1662535939a7096f8f45ee1440c35"
-   }
+   "version": "3.11.8"
   }
  },
  "nbformat": 4,
diff --git a/data-science-for-esm/intro.md b/data-science-for-esm/intro.md
index 38b8ac16..7d8a4ab3 100644
--- a/data-science-for-esm/intro.md
+++ b/data-science-for-esm/intro.md
@@ -123,11 +123,11 @@ There is a download button at the top-right corner.
 After navigating to the folder where the `environment.yaml` file is stored,
 you can reate this environment using `conda` (faster)
 
-    conda env create -f environment.yml
+    conda env create -f environment.yaml
 
 Activate this environment
 
-    conda activate esm-2023
+    conda activate esm-2024
 
 This environment should be sufficient for all of your work in this course.