Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentes Révision précédente | Prochaine révisionLes deux révisions suivantes |
| teaching:progappchim:pandas [2021/01/31 17:55] – [Exemples divers] villersd | teaching:progappchim:pandas [2021/02/01 14:53] – [Références] villersd |
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| ===== Références ===== | ===== Références ===== |
| * [[https://www.tutorialspoint.com/python_pandas/index.htm]] | * [[https://www.tutorialspoint.com/python_pandas/index.htm]] |
| | * [[https://towardsdatascience.com/top-4-repositories-on-github-to-learn-pandas-1008cb769f77|Top 4 Repositories on GitHub to Learn Pandas - Some of the most popular repositories to brush up on Pandas for beginners and experts alike]] Byron Dolon, Medium, Jul 21, 2020 |
| | * [[https://github.com/guipsamora/pandas_exercises|GitHub - guipsamora/pandas_exercises: Practice your pandas skills!]] |
| | * [[https://github.com/justmarkham/pandas-videos|GitHub - justmarkham/pandas-videos: Jupyter notebook and datasets from the pandas Q&A video series]] |
| | * [[https://github.com/ajcr/100-pandas-puzzles|GitHub - ajcr/100-pandas-puzzles: 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)]] |
| | * [[https://github.com/justmarkham/pycon-2019-tutorial|GitHub - justmarkham/pycon-2019-tutorial: Data Science Best Practices with pandas]] |
| * [[https://medium.com/@devopslearning/introduction-to-pandas-for-data-analysis-c14bb9b1c21b]] (limité) | * [[https://medium.com/@devopslearning/introduction-to-pandas-for-data-analysis-c14bb9b1c21b]] (limité) |
| * [[http://www.firstpythonnotebook.org/index.html|First Python Notebook. A step-by-step guide to analyzing data with Python and the Jupyter Notebook]] (The course will teach you how to use pandas to read, filter, join, group, aggregate and rank structured data. You will also learn how to record, remix and republish your analysis using the Jupyter Notebook) → commencer au chapitre 3 "Import pandas into a Jupyter Notebook" | * [[http://www.firstpythonnotebook.org/index.html|First Python Notebook. A step-by-step guide to analyzing data with Python and the Jupyter Notebook]] (The course will teach you how to use pandas to read, filter, join, group, aggregate and rank structured data. You will also learn how to record, remix and republish your analysis using the Jupyter Notebook) → commencer au chapitre 3 "Import pandas into a Jupyter Notebook" |