Welcome, wanderer !

I work as a "Data Scientist" (do not really like that job title). Here is my list of recommended readings (is not complete and never will be).

Book recommendations for starters

  • Introduction to Machine Learning by Ethem Alpaydin: To learn the theory.
  • Python Data Science Handbook by Jake VanderPlas: To get your hands dirty with Data Science in practice (or as in my case, to make a smooth switch from R to Python)
  • Head First Data Analysis by Michael Milton: The first book I have seen which grasps what I'd like to call the "Data Scientist's mindset"
  • Cartoon Guide to Statistics by Larry Gonick and Woollcott Smith: You need some statistics knowledge when working with data, so why don't you start the journey with something funny and lightweight ?

General book recommendations

  • Thinking, Fast and Slow by Daniel Kahneman: A lifetime of research how people think and make decisions.
  • The Most Human Human by Brian Christian: An explorative journey how to be perceived as human as possible during a Turing test.


  • If you do not know the gender of the contributor, consider to use singular they. Regarding this issue, the code of conduct has been updated Oct 2019.
  • The avatar displays a "Bizzaromant", a drawing by Felix Mertikat. It belongs to his indie pen-and-paper role-playing game Opus Anima (only available in german). A "Bizzaromant" explores a hidden layer of the world which cannot be seen by the plain eye, often using crafted tools for measurement. You get the link ;).
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