Analisi dei dati

Si tratta dell’applicazione di maggior successo, in questo periodo, di Python

APPLICAZIONI

1. Advertising – matplotlib, pandas, seaborn
2. Air quality – matplotlib, pandas
3. BMI
4. Brics
5. Cars – pandas
6. Drinks – pandas
7. Genesis
8. Iris – plotly
9. President heights – matplotlib, numpy, pandas, seaborn
10. Python per poeti
11. Titanic

MODULI

Si utilizzano molti moduli nativi (collections, csv, http, json, re, socket, statistics, string, textwrap, …) ma soprattutto affermati moduli di terze parti

• Altair
• BeautifulSoup
• Bokeh
• Dash
• Matplotlib – Grafici
• NumPy – Matematica, Statistica, Elaborazione d’immagini
• Pandas – Elaborazione di dati in formato tabella
• Plotly
• Requests
• Scikit-learn
• Seaborn – Semplifica l’uso di matplotlib e pandas
• …

TESTI

1. Naomo Ceder – Python – APOGEO
   • Parte IV – Gestione dei dati
2. Sinan Ozdemir – Data Science – APOGEO
3. Principles of Data Science
   • https://www.packtpub.com/product/principles-of-data-science/9781785887918
   • https://github.com/PacktPublishing/Principles-of-Data-Science
4. Python Data Science Essentials
   • https://www.packtpub.com/product/python-data-science-essentials/9781785280429
   • https://github.com/PacktPublishing/Python-Data-Science-Essentials
5. Python Data Science Handbook
   • https://jakevdp.github.io/PythonDataScienceHandbook/
   • https://www.oreilly.com/library/view/python-data-science/9781491912126/
   • https://github.com/jakevdp/PythonDataScienceHandbook