Added a few things to the docs

CONTRIBUTING.rst

@@ -81,12 +81,13 @@ Release
 As a JustCause maintainer following steps are needed to release a new version:
 
 #. Make sure all unit tests on `Cirrus-CI`_ are green.
+#. Update the ``CHANGELOG.rst`` file.
 #. Tag the current commit on the master branch with a release tag, e.g. ``v1.2.3``.
 #. Clean up the ``dist`` and ``build`` folders with ``rm -rf dist build``
    to avoid confusion with old builds and Sphinx docs.
 #. Run ``python setup.py dists`` and check that the files in ``dist`` have
    the correct version (no ``.dirty`` or Git hash) according to the Git tag.
-   Also sizes of the distributions should be less than 500KB, otherwise unwanted
+   Also sizes of the distributions should be less than 500KB (for bdist), otherwise unwanted
    clutter may have been included.
 #. Run ``twine upload dist/*`` and check that everything was uploaded to `PyPI`_ correctly.
 

README.md

@@ -70,6 +70,7 @@ Optional and needed only once after `git clone`:
  3. [EconML]: Heterogeneous Effect Estimation in Python
  4. [awesome-list]: A very extensive list of causal methods and respective code
  5. [IBM-Causal-Inference-Benchmarking-Framework]: Causal Inference Benchmarking Framework by IBM
+ 6. [CausalNex]: Bayesian Networks to combine machine learning and domain expertise for causal reasoning.
 
 ## Note
 
@@ -88,3 +89,4 @@ For details and usage information on PyScaffold see https://pyscaffold.org/.
 [EconML]: https://github.com/microsoft/EconML
 [awesome-list]: https://github.com/rguo12/awesome-causality-algorithms
 [IBM-Causal-Inference-Benchmarking-Framework]: https://github.com/IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework
+[CausalNex]: https://causalnex.readthedocs.io/