Bibliografía

[Pyt]

Python official site. https://www.python.org/.

[Bea21]

David Beazley. Python Distilled. Addison-Wesley Professional, 2021.

[GeronS19]

A. Géron and an O'Reilly Media Company Safari. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition. O'Reilly Media, Incorporated, 2019. URL: https://books.google.es/books?id=O2VJzQEACAAJ.

[Har21]

M. Harrison. Effective Pandas: Patterns for Data Manipulation. Treading on Python series. Matt Harrison, 2021. ISBN 9798772692936. URL: https://books.google.es/books?id=bYP0zgEACAAJ.

[McK12]

Wes McKinney. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.", 2012.

[SS15]

Thomas Sargent and John Stachurski. Quantitative economics with python. Technical Report, Technical report, Lecture Notes, 2015.

[Sok]

Ryan Soklaski. Python like you mean it. https://www.pythonlikeyoumeanit.com/index.html#.