diff --git a/README.md b/README.md
index 7560cc4e2..10068b8c4 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,6 @@ If you work with `scikitlearn`, `keras`, `H2O`, `mljar` or `mlr`, you may be int
 <a href="https://pbiecek.github.io/ema/introduction.html#bookstructure"><img src="https://github.com/ModelOriented/DALEX/raw/master/misc/DALEXpiramide.png" width="800"/></a>
 </p>
 
-
 ## Installation
 
 The easiest way to get the **R** version of DALEX is to install it from [CRAN](https://cran.r-project.org/package=DALEX)
@@ -47,14 +46,13 @@ Machine Learning models are widely used and have various applications in classif
 
 In many applications we need to know, understand or prove how input variables are used in the model and what impact do they have on final model prediction. `DALEX` is a set of tools that help to understand how complex models are working.
 
-## Cheatsheet
-
 <p align="center">
 <a href="https://github.com/ModelOriented/DALEX/raw/master/misc/cheatsheet_local_explainers.png"><img src="https://github.com/ModelOriented/DALEX/raw/master/misc/cheatsheet_local_explainers.png" width="500"/></a>
 </p>
 
+## Resources
 
-### DALEX show-cases
+### R package
 
 * [XAI in the jungle of competing frameworks for machine learning](https://medium.com/@ModelOriented/xai-in-the-jungle-of-competing-frameworks-for-machine-learning-fa6e96a99644)
 * [Gentle introduction to DALEX with examples](https://pbiecek.github.io/DALEX_docs/) showt introduction to the `DALEX` package.
@@ -71,6 +69,16 @@ In many applications we need to know, understand or prove how input variables ar
 * [How to use DALEX for teaching. Part 2](https://raw.githack.com/pbiecek/DALEX_docs/master/examples/What%20they%20have%20learned%20-%20part%202.html)
 * [breakDown vs lime vs shapleyR](https://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/Comparison_between_breakdown%2C_lime%2C_shapley.html)
 
+### Python package
+
+* Introduction to the `dalex` package: [Titanic: tutorial and examples](http://dalex.drwhy.ai/python-dalex-titanic.html)
+* Important features explained: [FIFA20: explain default vs tuned model with dalex](http://dalex.drwhy.ai/python-dalex-fifa.html)
+* [How to use dalex with xgboost](http://dalex.drwhy.ai/python-dalex-xgboost.html)
+* [New features in v0.2.1](http://dalex.drwhy.ai/python-dalex-new.html)
+* Code in the form of [jupyter notebook](https://github.com/pbiecek/DALEX_docs/tree/master/jupyter-notebooks)
+* [YouTube video](https://www.youtube.com/watch?v=PuKF2GS4_3Y) showing how to do [Break Down](https://pbiecek.github.io/ema/breakDown.html) analysis
+* Changelog: [NEWS](https://github.com/ModelOriented/DALEX/blob/master/python/dalex/NEWS.md)
+
 ### Talks about DALEX
 
 * [Talk about DALEX at Complexity Institute / NTU February 2018](https://github.com/pbiecek/pbiecek.github.io/blob/master/Presentations/DALEX_at_NTU_2018.pdf)
diff --git a/misc/cheatsheet_local_explainers.png b/misc/cheatsheet_local_explainers.png
index 8183e0ae0..bb83691bd 100644
Binary files a/misc/cheatsheet_local_explainers.png and b/misc/cheatsheet_local_explainers.png differ