Pour aller plus loin…
Voici des documentations supplémentaires qui peuvent aider :
- Pandas : https://pandasguide.readthedocs.io/en/latest/Pandas/overview.html
- Numpy : https://numpy.org/doc/stable/reference/routines.statistics.html
- Matplotlib : https://matplotlib.org/stable/tutorials/introductory/pyplot.html
- VIDEO Web Scraping : https://www.youtube.com/watch?v=Wvc2ZqdIPpk&ab_channel=NinjaScripter
- DDL et DML : https://web.csulb.edu/colleges/coe/cecs/dbdesign/dbdesign.php?page=sql/ddldml.php
- Fonctions d’agrégation : https://web.csulb.edu/colleges/coe/cecs/dbdesign/dbdesign.php?page=sql/functions.php
- Sous-requêtes : https://web.csulb.edu/colleges/coe/cecs/dbdesign/dbdesign.php?page=sql/subqueries.php
- Cheat Sheet SQL : https://intellipaat.com/mediaFiles/2019/02/SQL-Commands-Cheat-Sheet.pdf
- Algèbre Relationnelle : https://web.csulb.edu/colleges/coe/cecs/dbdesign/dbdesign.php?page=sql/queries.php
- Fonctions d’agrégation : https://www.postgresqltutorial.com/postgresql-aggregate-functions/
- Fonctions mathématiques : https://www.postgresqltutorial.com/postgresql-math-functions/
- Fonctions alphanumériques : https://www.postgresqltutorial.com/postgresql-string-functions/
- Fonctions dates : https://www.postgresqltutorial.com/postgresql-date-functions/
- Gestion des privilèges SQL : https://www.postgresqltutorial.com/postgresql-administration/postgresql-grant/