documented python and matlab code in readme

LICENSE

 # # License
 
-# copyright Manuel Marschall (PTB) 2021
+# copyright Manuel Marschall and Gerd Wübbeler(PTB) 2021
 
 # This software is licensed under the BSD-like license:
 

README.md

@@ -42,6 +42,40 @@ The Python library can be found in the directory `code` and it is written and te
 
 For the examples under `code/Notebooks` a Jupyter Notebook environment is required.
 
+## Install Python with Anaconda
+
+To install and use the Python code we recommend using Anaconda `https://www.anaconda.com/products/individual`. Simply download and install Anaconda and create your Python environment using the terminal command
+
+```
+  conda create -n GUMS1-RejSampler python=3.9.5 numpy=1.20.2 scipy=1.6.2 matplotlib=3.3.4
+```
+
+Then, activate the environment with
+
+```
+  conda activate GUMS1-RejSampler
+```
+
+and install some utility packages that are used for the MCMC reference computation and progression tracking
+
+```
+  pip install emcee==3.1.0 tqdm==4.62.2
+```
+
+## Run the Python scripts
+
+Having a suitable Python environment, the examples can be started by simply calling, e.g.,
+
+```
+  cd code
+  python example_resistor.py
+```
+
+The script will generate a directory `code/data/resistor/` and the relevant output images.
+
+---
+
+
 # Prerequisite for Matlab code
 
 The matlab files are generated and tested using MATLAB (R2020b) and require the `statistics toolbox` and the `machine learning toolbox`.