add python lib install instructions to docs

docs/data.md

@@ -4,7 +4,7 @@ Introduction to the provided datasets.
 
 ## heiData
 
-The datasets are stored on [heiData](https://heidata.uni-heidelberg.de/) which also provides a DOI.
+The datasets will be stored on [heiData](https://heidata.uni-heidelberg.de/) which also provides a DOI.
 
 Here is an example dataset: [doi:10.11588/data/TKCFEF](https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/TKCFEF)
 

docs/index.md

@@ -1,4 +1,4 @@
-# Welcome to Q-HCCC
+# Welcome to Q-HCC
 
 Some text about what this is...
 

docs/models.md

@@ -1,3 +1,22 @@
 # Models
 
-Introduction to the models provided at [github.com/ZhaoWenzhao/QHCC](https://github.com/ZhaoWenzhao/QHCC).
+Example models and data are provided at [github.com/ZhaoWenzhao/QHCC](https://github.com/ZhaoWenzhao/QHCC).
+
+In order to run the provided example scripts, you will need to use Python 3.8 or 3.9, and install the required Python libraries:
+
+=== "pip"
+    ```bash
+    pip install jupyter numpy pandas pooch pyradiomics simpleitk scikit-learn xgboost
+    ```
+
+=== "conda"
+    ```bash
+    conda env create -n QHCC2 jupyter numpy pandas pooch python radiomics::pyradiomics simpleitk scikit-learn xgboost -c conda-forge -c radiomics
+    conda activate QHCC
+    ```
+
+=== "micromamba"
+    ```bash
+    micromamba env create -n QHCC2 jupyter numpy pandas pooch python radiomics::pyradiomics simpleitk scikit-learn xgboost -c conda-forge -c radiomics
+    micromamba activate QHCC
+    ```