diff --git a/00_pytorch_fundamentals.ipynb b/00_pytorch_fundamentals.ipynb
index d9e60e71..e9e73acf 100644
--- a/00_pytorch_fundamentals.ipynb
+++ b/00_pytorch_fundamentals.ipynb
@@ -72,7 +72,7 @@
     "| **Reproducibility** | Machine learning is very experimental and since it uses a lot of *randomness* to work, sometimes you'll want that *randomness* to not be so random. |\n",
     "| **Running tensors on GPU** | GPUs (Graphics Processing Units) make your code faster, PyTorch makes it easy to run your code on GPUs. |\n",
     "\n",
-    "## Where can can you get help?\n",
+    "## Where can you get help?\n",
     "\n",
     "All of the materials for this course [live on GitHub](https://github.com/mrdbourke/pytorch-deep-learning).\n",
     "\n",
diff --git a/SETUP.md b/SETUP.md
index 36312d09..acffaf04 100644
--- a/SETUP.md
+++ b/SETUP.md
@@ -112,7 +112,7 @@ cd ztm-pytorch-course
 ```
 3. Create a `conda` environment in the directory you just created. The following command will create a `conda` enviroment that lives in the folder called `env` which lives in the folder you just created (e.g. `ztm-pytorch-course/env`). Press `y` when the command below asks `y/n?`.
 ```
-conda create --prefix ./env python=3.8
+conda create --prefix ./env python=3.8.13
 ```
 4. Activate the environment you just created.
 ```