We provide you with an overview of our literature recommendations for Python general purpose and numerical programming – more generally known as data science:
General
Learning Python, 5th Edition by Mark Lutz,
Python Crash Course, 2nd Edition by Eric Matthes.
Data Science
Python Data Science Handbook by Jake VanderPlas,
Python for Data Analysis, 2nd Edition by Wes McKinney,
![[Python for Econometrics in Economics]](https://pyecon.org/wp-content/cache/hansepress-images/f8ebf1ecd29960c5b778b90207323cc8/1522063910-38209-802.webp)
