Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:progappchim:pandas [2019/03/10 10:12] – [Références] villersd | teaching:progappchim:pandas [2019/03/11 01:01] – villersd |
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| * [[https://medium.com/@msalmon00/helpful-python-code-snippets-for-data-exploration-in-pandas-b7c5aed5ecb9|Helpful Python Code Snippets for Data Exploration in Pandas]] | * [[https://medium.com/@msalmon00/helpful-python-code-snippets-for-data-exploration-in-pandas-b7c5aed5ecb9|Helpful Python Code Snippets for Data Exploration in Pandas]] |
| * [[https://medium.com/dunder-data/selecting-subsets-of-data-in-pandas-6fcd0170be9c|Selecting Subsets of Data in Pandas: Part 1]] | * [[https://medium.com/dunder-data/selecting-subsets-of-data-in-pandas-6fcd0170be9c|Selecting Subsets of Data in Pandas: Part 1]] |
| | * [[https://github.com/fonnesbeck/statistical-analysis-python-tutorial|Statistical Data Analysis in Python]] |
| | * [[http://cmdlinetips.com/2018/03/how-to-make-boxplots-in-python-with-pandas-and-seaborn/|How to Make Boxplots in Python with Pandas and Seaborn?]] (and Gapminder dataset) |
| | * [[https://www.geeksforgeeks.org/box-plot-visualization-with-pandas-and-seaborn/|Box plot visualization with Pandas and Seaborn]] |
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| * [[http://blog.yhat.com/posts/visualize-nba-pipelines.html]] | * [[http://blog.yhat.com/posts/visualize-nba-pipelines.html]] |
| * [[https://tomaugspurger.github.io/]] | * [[https://tomaugspurger.github.io/]] |
| | * régressions linéaires : |
| | * [[http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td2a_eco_regressions_lineaires.html]] |
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