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jupyter
2 Occurrences trouvées, Dernière modification :
ted.com/google-colab-what-is-it-how-to-use-it-and-why-should-i-care-721bb8a88c90|Intro to Google Colab]... ttps://www.nature.com/articles/d41586-018-07196-1|Why Jupyter is data scientists’ computational noteboo
matplotlib_simple
2 Occurrences trouvées, Dernière modification :
* [[https://towardsdatascience.com/6-reasons-why-you-should-stop-using-histograms-and-which-plot-you-should-use-instead-31f937a0a81c|6 Reasons Why You Should Stop Using Histograms (and Which Plot
notions_fondamentales
2 Occurrences trouvées, Dernière modification :
://www.pythoncheatsheet.org/blog/python-sets-what-why-how|Python Sets: What, Why and How]] <note important>Les éléments d'ensembles doivent être différents
ppoo
2 Occurrences trouvées, Dernière modification :
om/object-oriented-programming-in-python-what-and-why-d966e9e0fd03|Object Oriented Programming in Python — What and Why? | by Arafath Hossain | Mar, 2022 | Towards Data
pygal_simple
2 Occurrences trouvées, Dernière modification :
m/book/big_data_and_business_intelligence/9781783553334/3/ch03lvl1sec19/why-use-pygal|Why use pygal?]]
pandas
1 Occurrences trouvées, Dernière modification :
fonction merge : [[https://towardsdatascience.com/why-and-how-to-use-merge-with-pandas-in-python-548600
plotly_simple
1 Occurrences trouvées, Dernière modification :
* [[https://towardsdatascience.com/4-reasons-why-im-choosing-plotly-as-the-main-visualization-libr