We provide you with an overview of our literature recommendations for Python general purpose and numerical programming – more generally known as data science:


  • Learning Python, 5th Edition by Mark Lutz,
  • Python Crash Course by Eric Matthes.

Data Science

  • Python Data Science Handbook by Jake VanderPlas,
  • Python for Data Analysis, 2nd Edition by Wes McKinney,
  • Python for Finance by Yves Hilpisch