[Python for Econometrics in Economics][Python for Econometrics in Economics]
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Literature

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 Finance, 2nd Edition by Yves Hilpisch.

WEBLinks

Economic Research

  • ReplicationWiki/Python: Database with information on replica-tions of economic studies by means of Python.
  • Aruoba, Fernández-Villaverde: A Comparison of Programming Languages in Economics. (2014, despite of Python’s ‘performance’)
  • Aruoba, Fernández-Villaverde: A Comparison of Programming Languages in Economics: An Update. (2018)

General

  • Python.org: Official website of Python and the Python Software Foundation.
  • Python Software Verband e.V.: Official representative of Python programming in German speaking countries.
  • Python distribution Anaconda: Comfortable Python and packages installation system.

Data Science

  • SciPy.org: Home of the most essential scientific programming packages.
  • Jupyter and IPython: Interactive scientific analysis notebooks.
  • Scikit-learn: Standard package for machine learning with Python.
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