Merge branch 'heads/github/release' into github-release

# Conflicts:
#	pm4py/visualization/heuristics_net/variants/__init__.py

README.md

@@ -1,28 +1,27 @@
 # PM4Py
-PM4Py is a python library that supports (state-of-the-art) process mining algorithms in python. 
-It is completely open source and intended to be used in both academia and industry projects.
+PM4Py is a python library that supports (state-of-the-art) process mining algorithms in python. It is completely open source and intended to be used in both academia and industry projects.
 PM4Py is a product of the Fraunhofer Institute for Applied Information Technology.
 
 ## Documentation / API
-Full documentation of PM4Py is available at http://pm4py.org/
+The documentation about PM4Py is offered at http://pm4py.org/
 
 ## First Example
 A very simple example, to whet your appetite:
 
-```python
 import pm4py
 
-log = pm4py.read_xes('<path_to_xes_file>')
-process_model = pm4py.discover_bpmn_inductive(log)
-pm4py.view_bpmn(process_model)
-```
+log = pm4py.read_xes('<path-to-xes-log-file.xes>')
+
+net, initial_marking, final_marking = pm4py.discover_petri_net_inductive(log)
+
+pm4py.view_petri_net(pnet, initial_marking, final_marking, format="svg")
 
 ## Installation
 PM4Py can be installed on Python 3.7.x / 3.8.x / 3.9.x by doing:
-`pip install -U pm4py`
+*pip install -U pm4py*
 
-## Change Log
-We track all changes in our [*CHANGELOG*](https://github.com/pm4py/pm4py-core/blob/release/CHANGELOG.md) file.
+## Release Notes
+To track the incremental updates, we offer a *RELEASE_NOTES* file.
 
 ## Third Party Dependencies
 As scientific library in the Python ecosystem, we rely on external libraries to offer our features.