Difference between revisions of "Jupyter"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
| − | [ | + | [https://www.youtube.com/results?search_query=jupyter+notebook Youtube search...] |
| − | [ | + | [https://www.google.com/search?q=jupyter+notebook ...Google search] |
* [[Colaboratory]] | * [[Colaboratory]] | ||
* [[Notebooks]] | * [[Notebooks]] | ||
* [[Git - GitHub and GitLab]] | * [[Git - GitHub and GitLab]] | ||
| − | * [ | + | * [https://jupyter.org/index.html Jupyter Homepage] |
| − | * [ | + | * [https://jupyterhub.readthedocs.io/en/stable/ JupyterHub] |
| − | * [ | + | * [https://nbviewer.jupyter.org/ NBviewer] share Jupyter Notebooks |
* [[Python]] | * [[Python]] | ||
| − | * [ | + | * [https://code.visualstudio.com/docs/python/jupyter-support Working with Jupyter Notebooks in Visual Studio Code] |
| − | * [ | + | * [https://blog.jupyter.org/a-visual-debugger-for-jupyter-914e61716559 A Visual Debugger for Jupyter] |
| − | * [ | + | * [https://www.dominodatalab.com/solutions/jupyter/ Domino Data Labs Notebooks] |
<youtube>2eCHD6f_phE</youtube> | <youtube>2eCHD6f_phE</youtube> | ||
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=== <span id="ipyWidgets"></span>ipyWidgets === | === <span id="ipyWidgets"></span>ipyWidgets === | ||
| − | * [ | + | * [https://jupyter.org/widgets Notebook Widgets] |
* [[Python#Matplotlib| Matplotlib]] - generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc | * [[Python#Matplotlib| Matplotlib]] - generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc | ||
* [[Python#Plotly| Plotly]] - graphing library makes interactive, publication-quality graphs | * [[Python#Plotly| Plotly]] - graphing library makes interactive, publication-quality graphs | ||
| − | * [ | + | * [https://github.com/jupyter-widgets/tutorial The Jupyter Widget Ecosystem | M. Breddels, M. Craig, J. Grout, and M. Renou] Tutorial, SciPy 2019 |
Notebooks come alive when interactive widgets are used. Users can visualize and control changes in the data. Learning becomes an immersive, plus fun, experience. Researchers can easily see how changing inputs to a model impacts the results. | Notebooks come alive when interactive widgets are used. Users can visualize and control changes in the data. Learning becomes an immersive, plus fun, experience. Researchers can easily see how changing inputs to a model impacts the results. | ||
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=== JupyterLab === | === JupyterLab === | ||
| − | * [ | + | * [https://towardsdatascience.com/jupyter-lab-evolution-of-the-jupyter-notebook-5297cacde6b Jupyter Lab: Evolution of the Jupyter Notebook | Parul Pandey - Towards Data Science] |
<youtube>Gzun8PpyBCo</youtube> | <youtube>Gzun8PpyBCo</youtube> | ||
<youtube>NSiPeoDpwuI</youtube> | <youtube>NSiPeoDpwuI</youtube> | ||
Revision as of 21:29, 28 March 2023
Youtube search... ...Google search
- Colaboratory
- Notebooks
- Git - GitHub and GitLab
- Jupyter Homepage
- JupyterHub
- NBviewer share Jupyter Notebooks
- Python
- Working with Jupyter Notebooks in Visual Studio Code
- A Visual Debugger for Jupyter
- Domino Data Labs Notebooks
ipyWidgets
- Notebook Widgets
- Matplotlib - generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc
- Plotly - graphing library makes interactive, publication-quality graphs
- The Jupyter Widget Ecosystem | M. Breddels, M. Craig, J. Grout, and M. Renou Tutorial, SciPy 2019
Notebooks come alive when interactive widgets are used. Users can visualize and control changes in the data. Learning becomes an immersive, plus fun, experience. Researchers can easily see how changing inputs to a model impacts the results.
JupyterLab
