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Jupiter Notebook Tools for Sphinx Release 0.1.0Matthias Hair November 29, 2015Contents 1Links2Example Pages 2.1 An Example Notebook. . . . . Markdown. . . . . . . . . . . . Code Cells. . . . . . .
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01
Open Jupyter Notebook by typing 'jupyter notebook' in the command line.
02
Create a new notebook by clicking on the 'New' button and selecting 'Python 3' or any other supported programming language.
03
Add code cells by clicking on the '+' button or using the 'Insert' menu.
04
Enter your code in the code cells.
05
Run a code cell by pressing 'Shift + Enter' or clicking on the 'Run' button.
06
Add Markdown cells for documentation by selecting 'Markdown' from the dropdown menu next to the '+' button.
07
Write your documentation in the Markdown cells using the Markdown syntax.
08
Execute Markdown cells to render the formatted text by pressing 'Shift + Enter' or clicking on the 'Run' button.
09
Save your notebook by clicking on the 'Save' button or using the 'File' menu.

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Data scientists who perform exploratory data analysis and model development.
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Jupyter notebook tools are primarily used for interactive computing, data analysis, and visualizations.
Jupyter notebook tools are typically used by researchers, data scientists, and programmers.
Jupyter notebooks are filled out by writing code, text, and including visualizations in a web-based interface.
The purpose of jupyter notebook tools is to facilitate data exploration and analysis in a collaborative environment.
Jupyter notebook tools can be used to report code, data, visualizations, and explanations of data analysis.
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