| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:progappchim:jupyter [2020/05/22 15:52] – villersd | teaching:progappchim:jupyter [2021/01/17 03:56] – [Références :] villersd |
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| * Le futur : | * Le futur : |
| * [[https://github.com/jupyterlab/jupyterlab|JupyterLab]] | * [[https://github.com/jupyterlab/jupyterlab|JupyterLab]] |
| | * Jupyter book |
| | * [[https://jupyterbook.org/intro.html]] |
| | * [[https://medium.com/swlh/the-new-jupyter-book-4028f054893f|The New Jupyter Book - Jupyter Book extends the notebook idea]] |
| | Davide Camera, Medium, 25/08/2020 |
| * Sélections d'exemples : | * Sélections d'exemples : |
| * [[https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks|A gallery of interesting Jupyter Notebooks]] | * [[https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks|A gallery of interesting Jupyter Notebooks]] |
| * Visualisation de données : | * Visualisation de données : |
| * Matplotlib | * Matplotlib |
| | * [[https://towardsdatascience.com/how-to-produce-interactive-matplotlib-plots-in-jupyter-environment-1e4329d71651|How to produce Interactive Matplotlib Plots in Jupyter Environment]] ([[https://github.com/matplotlib/ipympl]]) |
| * [[http://bokeh.pydata.org/en/latest/|Bokeh]] | * [[http://bokeh.pydata.org/en/latest/|Bokeh]] |
| * [[https://nbviewer.jupyter.org/github/plotly/python-user-guide/blob/master/Index.ipynb|Plotly]] | * [[https://nbviewer.jupyter.org/github/plotly/python-user-guide/blob/master/Index.ipynb|Plotly]] |
| * Jupyter widgets (ipywidgets) | * Jupyter widgets (ipywidgets) |
| * [[http://ipywidgets.readthedocs.io/en/stable/index.html|Documentation officielle (stable)]] | * [[http://ipywidgets.readthedocs.io/en/stable/index.html|Documentation officielle (stable)]] |
| | * Articles : |
| | * [[https://towardsdatascience.com/interactive-graphs-in-python-830b1e6c197f|Interactive Graphs in Python - An incredibly quick and easy extension to Matplotlib]] (exemple simple avec matplotlib) |
| * **Exemples** : | * **Exemples** : |
| * [[https://samplespublic-linusable.notebooks.azure.com/nb/notebooks/notebooks/jupyter_widgets-01.ipynb]] : sinusoïde à fréquence ajustable | * [[https://samplespublic-linusable.notebooks.azure.com/nb/notebooks/notebooks/jupyter_widgets-01.ipynb]] : sinusoïde à fréquence ajustable |
| * [[https://www.nature.com/news/programming-pick-up-python-1.16833]] | * [[https://www.nature.com/news/programming-pick-up-python-1.16833]] |
| * [[https://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261]] | * [[https://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261]] |
| | * [[https://www.nature.com/articles/d41586-018-07196-1|Why Jupyter is data scientists’ computational notebook of choice - An improved architecture and enthusiastic user base are driving uptake of the open-source web tool]] Jeffrey M. Perkel, Nature 563, 145-146 (2018) DOI: 10.1038/d41586-018-07196-1 |
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