Rich testing

.gitignore

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+# Created by https://www.toptal.com/developers/gitignore/api/macos,windows,python
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requirements.txt

@@ -0,0 +1,6 @@
+ipykernel
+pandas
+numpy
+matplotlib
+joblib
+policy_priority_inference

tutorials/README.md

@@ -3,7 +3,7 @@
 These tutorials assume that you have a basic knowledge of Python, and that you are familiar with the libraries Numpy and Pandas and their data structures (arrays and DataFrames).
 They are numbered in progressive order to take you from the data pre-processing steps, all the way to calibrating the model parameters and performing simulation experiments to detect structural bottlenecks.
 More tutorials will be added on demand.
-There are three ways to setup PPI.
+There are four ways to setup PPI.
 
 ## Direct download
 
@@ -29,3 +29,10 @@ There are three ways to setup PPI.
 4. To avoid getting an error at this point, you need to create an empty folder named `clean_data` in the session that is running the tutorial.
 Alternatively, you can just comment the line that saves the file, as all the necessary data are always copied from this repository.
 5. Enjoy PPI.
+
+## Git clone
+
+1. Use Git to clone this repository to your local machine.
+2. Run `pip install -r requirements.txt`, preferably within a virtual environment of your choice. 
+3. Open the Jupyter notebooks.
+4. Enjoy PPI.