Bibliografia

(1) Artigos científicos em conformidade com os temas específicos aos problemas em que os alunos vão desenvolver o seu projeto (2) Ficheiros (slides, scripts e notebooks) da UC a disponibilizar no Moodle (3) Wes McKinney (2022), Python for Data Analysis, 3rd Edition, O'Reilly Media, Inc. (https://wesmckinney.com/book/, https://github.com/wesm/pydata-book) (4) Marek Gagolewski (2023), Minimalist Data Wrangling with Python, CC BY-NC-ND 4.0. (https://datawranglingpy.gagolewski.com/):

(1) Matt Harrison and Theodore Petrou (2020), Pandas 1.x Cookbook, Second Edition, Packt>. (2) Suresh Kumar Mukhiya and Usman Ahmed (2020), Hands-On Exploratory Data Analysis with Python, Packt>. (https://github. com/PacktPublishing/hands-on-exploratory-data-analysis-with-python):