Search Results for "ipython"
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Showing 6 open source projects for "ipython"
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ipynb-quicklook
Generator for Jupyter/IPython notebooks without further dependencies
A Quick Look generator for Jupyter/IPython notebooks without further dependencies. This plugin has now been integrated into a native macOS app, Jupyter Notebook Viewer. This is the recommended way to install the QuickLook generator. A stand-alone Quick Look generator for Jupyter/IPython notebooks on macOS. Contents are rendered on-the-fly using nbviewer.js. -
2
Open in Colab
Open notebook in Colab from GitHub and Gist
Add-on that adds a button, «Open in Colab», to the header of IPython notebook in Gist and GitHub Open Jupyter Notebook in Colab from Gist and GitHub adding a button «Open in Colab» with this browser WebExtension -
3
ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
4
Rodeo
A data science IDE for Python
...It is an IDE that has been built especially for data science/Machine Learning in Python and you can also very simply think of it as a light weight alternative to the IPython Notebook. -
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5
Jupyter notebook snippets menu
Adds a customizable menu item to Jupyter (IPython) notebooks
Adds a customizable menu item to Jupyter notebooks to insert snippets, boilerplate, and examples of code. This notebook extension adds a menu item (or multiple menu items, if desired) after the Help menu in Jupyter notebooks. This new menu contains little snippets of code that we all forget from time to time but don't want to google, or are just too lazy to type, or simply didn't know about. It can also be helpful for people just starting out with a programming language, who need some ideas... -
6
Pathomx
Workflow-based data analysis built on IPython
Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis.
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