diff --git a/HPC_Python_Guide.md b/HPC_Python_Guide.md
index 9e467509bef6dd4a7db979a75a8e85019f13df00..3924b7a7fe1b46a03b01d1faa0c92e7e57078f42 100644
--- a/HPC_Python_Guide.md
+++ b/HPC_Python_Guide.md
@@ -29,13 +29,15 @@ a100sh
 
 2. Load modules for Python by entering:
    ```
-   module load python3/3.8.9
-   module load numpy/1.19.5-python-3.8.9-openblas-0.3.13
-   module load scipy/1.5.4-python-3.8.9
-   module load cuda/11.0
+   module load python3/3.9.14
+   module load numpy/1.23.3-python-3.9.14-openblas-0.3.21
+   module load scipy/1.9.1-python-3.9.14
+   module load matplotlib/3.6.0-numpy-1.23.3-python-3.9.14
+   module load cuda/11.6
    ```
-   We load `numpy` and `scipy` as modules, since the HPC team have made optimized versions for the HPC cluster.
-   NOTE: this uses Python 3.8 but others are available.
+   We load `numpy`, `scipy`, and `matplotlib` as modules, because the HPC team have made optimized versions for the HPC cluster.
+   
+   > __NOTE:__ This guide uses Python 3.9 and CUDA 11.6 but other versions are available.
 
 3. Create a virtualenv by running:
    ```
@@ -62,10 +64,11 @@ You should now be able to install packages with pip install <PACKAGE> as normal.
 
 2. Load modules for Python by entering:
    ```
-   module load python3/3.8.9
-   module load numpy/1.19.5-python-3.8.9-openblas-0.3.13
-   module load scipy/1.5.4-python-3.8.9
-   module load cuda/11.0
+   module load python3/3.9.14
+   module load numpy/1.23.3-python-3.9.14-openblas-0.3.21
+   module load scipy/1.9.1-python-3.9.14
+   module load matplotlib/3.6.0-numpy-1.23.3-python-3.9.14
+   module load cuda/11.6
    ```
    We load  `numpy` and `scipy` as modules, since the HPC team have made optimized versions for the HPC cluster.
 
@@ -77,10 +80,11 @@ You should now be able to install packages with pip install <PACKAGE> as normal.
 > __Pro tip:__ To make life easy, put these commands in a bash script called `init.sh`:
 > ```
 > #!/bin/bash
-> module load python3/3.8.9
-> module load numpy/1.19.5-python-3.8.9-openblas-0.3.13
-> module load scipy/1.5.4-python-3.8.9
-> module load cuda/11.0
+> module load python3/3.9.14
+> module load numpy/1.23.3-python-3.9.14-openblas-0.3.21
+> module load scipy/1.9.1-python-3.9.14
+> module load matplotlib/3.6.0-numpy-1.23.3-python-3.9.14
+> module load cuda/11.6
 >
 > source <VENV_NAME>/bin/activate
 > ```