| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:progappchim:jupyter [2021/02/02 09:31] – villersd | teaching:progappchim:jupyter [2021/03/09 16:18] – villersd |
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| * Jupyter book | * Jupyter book |
| * [[https://jupyterbook.org/intro.html]] | * [[https://jupyterbook.org/intro.html]] |
| * [[https://blog.jupyter.org/announcing-the-new-jupyter-book-cbf7aa8bc72e|Announcing the new Jupyter Book]] Chris Holdgraf | * [[https://blog.jupyter.org/announcing-the-new-jupyter-book-cbf7aa8bc72e|Announcing the new Jupyter Book]] Chris Holdgraf, Medium, Aug 12, 2020 |
| Chris Holdgraf, Medium, Aug 12, 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]] |
| * 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]]) | * [[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]]) |
| | * {{ :teaching:progappchim:animationembedding-03.ipynb |}} : avec des animations des graphiques matplotlib |
| * [[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]] |
| * [[https://towardsdatascience.com/interactive-graphs-in-python-830b1e6c197f|Interactive Graphs in Python - An incredibly quick and easy extension to Matplotlib]] (exemple simple avec matplotlib) | * [[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 | * {{ :teaching:progappchim:jupyter_widgets-01.ipynb |}} : sinusoïde à fréquence ajustable |
| * [[https://samplespublic-linusable.notebooks.azure.com/nb/notebooks/notebooks/jupyter_widgets-Maxwell-01.ipynb]] : Distribution de vitesses de Maxwell (visualisation interactive avec deux interactions simultanées, masse et température) | * {{ :teaching:progappchim:jupyter_widgets-maxwell-01.ipynb |}} : Distribution de vitesses de Maxwell (visualisation interactive avec deux interactions simultanées, masse et température) |
| * [[https://samplespublic-linusable.notebooks.azure.com/nb/notebooks/notebooks/physics/Beat_Frequencies.ipynb]] : [[wp>fr:Battement_(physique)|battement]] sonore dû à la superposition de deux fréquences proches | * {{ :teaching:progappchim:beat_frequencies.ipynb |}} : [[wp>fr:Battement_(physique)|battement]] sonore dû à la superposition de deux fréquences proches |
| | * {{ :teaching:progappchim:basic_interactor_demo.ipynb |}} : avec la librairie graphique Bokeh |
| * [[https://github.com/ipython-contrib/jupyter_contrib_nbextensions|Jupyter notebook extensions]], add functionality to the Jupyter notebook using Javascript extensions loaded locally in your browser. | * [[https://github.com/ipython-contrib/jupyter_contrib_nbextensions|Jupyter notebook extensions]], add functionality to the Jupyter notebook using Javascript extensions loaded locally in your browser. |
| * Installer des librairies à partir d'un notebook Jupyter : [[http://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/index.html|Installing Python Packages from a Jupyter Notebook]] | * Installer des librairies à partir d'un notebook Jupyter : [[http://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/index.html|Installing Python Packages from a Jupyter Notebook]] |
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| * Exemples en chimie : | * Exemples en chimie : |
| * [[https://samplespublic-linusable.notebooks.azure.com/nb/notebooks/notebooks/chemistry/chemical_elements_data-01.ipynb]] : librairie python sur les éléments chimiques et visualisation d'une propriété | * {{ :teaching:progappchim:chemical_elements_data-01.ipynb |}} : librairie python sur les éléments chimiques et visualisation d'une propriété |
| * [[https://notebooks.azure.com/linusable/libraries/samples-public/tree/notebooks/chemistry|Lecture de fichiers IR]] (spectres de HCl et CO) | * {{ :teaching:progappchim:jcamp-dx_ir-file-reading-01.ipynb |}} : Lecture de fichiers IR (spectres de HCl et CO) |
| * [[http://nbviewer.jupyter.org/github/lmmentel/ase-jnb/blob/master/ase-html.ipynb|Viewing ase structure using HTML]] (lukasz Mentel) | * [[http://nbviewer.jupyter.org/github/lmmentel/ase-jnb/blob/master/ase-html.ipynb|Viewing ase structure using HTML]] (lukasz Mentel) |
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