Bibliografia
Principal
- Hunt, A., & Thomas, D.
(2019)
The pragmatic programmer: Your journey to mastery (20th Anniversary ed.). Addison-Wesley.
- Baka, B.
(2019)
Data structures and algorithms in Python. Packt Publishing.
- Slatkin, B.
(2019)
Effective Python: 90 specific ways to write better Python (2nd ed.). Addison- Wesley.
- Raschka, S., & Mirjalili, V.
(2019)
Python machine learning (3rd ed.). Packt Publishing
- McKinney, W.
(2018)
Python for data analysis: Data wrangling with Pandas, NumPy, and IPython (2nd ed.). O'Reilly Media.
- Grus, J.
(2019)
Data science from scratch: first principles with python. O'Reilly Media.
- Caiado, J.
(2024)
Python e Exoploração de Dados. Edições Sílabo.
- Cady, F.
(2024)
The data science handbook. John Wiley & Sons.
Secundária
Não foi definida bibliografia secundária