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:plotly_simple [2019/01/22 03:40] – villersd | teaching:progappchim:plotly_simple [2020/06/01 18:06] – villersd |
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* [[https://plot.ly/ipython-notebooks/|IPython Notebook Gallery]] | * [[https://plot.ly/ipython-notebooks/|IPython Notebook Gallery]] |
* [[https://towardsdatascience.com/the-next-level-of-data-visualization-in-python-dd6e99039d5e|The Next Level of Data Visualization in Python]] | * [[https://towardsdatascience.com/the-next-level-of-data-visualization-in-python-dd6e99039d5e|The Next Level of Data Visualization in Python]] |
| * [[https://towardsdatascience.com/recreating-gapminder-animation-in-2-lines-of-python-with-plotly-express-2060c73bedec|Recreating Gapminder Animation in 2 lines of Python with Plotly Express Go to the profile of AMR]] |
| * [[https://towardsdatascience.com/pythons-one-liner-graph-creation-library-with-animations-hans-rosling-style-f2cb50490396]] |
| * [[https://towardsdatascience.com/plotting-with-python-c2561b8c0f1f]] |
| * [[https://towardsdatascience.com/crisp-python-plots-based-on-visualization-theory-5ac3a82c398e|Crisp python plots based on visualization theory]] |
| * [[https://medium.com/swlh/plotly-python-an-introduction-8cd8e41bb53e|Plotly Python: An Introduction]] |
| * [[https://medium.com/swlh/forget-matplotlib-you-should-be-using-plotly-ada76b650ff4|Forget Matplotlib! You Should Be Using Plotly]] |
| * [[https://towardsdatascience.com/python-for-data-science-a-guide-to-data-visualization-with-plotly-969a59997d0c|Python For Data Science — A Guide to Data Visualization with Plotly]] |
| * Dash & plotly |
| * [[https://medium.com/swlh/dashboards-in-python-for-beginners-and-everyone-else-using-dash-f0a045a86644]] |
| * [[https://towardsdatascience.com/interactive-dashboards-for-data-science-51aa038279e5|Interactive Dashboards for Data Science]] Creating an online dashboard in Python to analyse Facebook Stock Market Prices and Performance Metrics, Pier Paolo Ippolito, Aug 28, 2019 |
| * [[https://towardsdatascience.com/4-reasons-why-im-choosing-plotly-as-the-main-visualization-library-dc4a961a402f]] |