Python pour la data science

Lino Galiana

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Site web du cours Python pour la data science , une introduction à Python pour la deuxième année du cursus d’ingénieur de l’ENSAE (Master 1).

L’ensemble du contenu de ce groupe est librement disponible ici ou sur Github et peut être testé sous forme de notebooks Jupyter.

Exemple avec le TP Pandas

html`${printBadges({fpath: "content/manipulation/02b_pandas_TP.qmd"})}`

Au programme:

• Récupérer, structurer et manipuler des données ;
• Visualiser et communiquer des résultats ;
• Modéliser grâce au machine learning des relations entre des jeux de données ;
• Exploiter des données textuelles.

Thèmes en vrac

Pour découvrir Python de manière thématique

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