How to Export Current Notebook in HTML on Jupyter

As a data scientist or software engineer, you may often find yourself working on Jupyter notebooks, which is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Jupyter notebooks are a powerful tool for data analysis, machine learning, and scientific computing.

One of the most useful features of Jupyter notebooks is the ability to export your work in various formats, including HTML, PDF, and Markdown. In this article, we will explain how to export your current notebook in HTML format on Jupyter.

Table of Contents

1. Introduction
2. Step-by-Step Guide
   1. Open Your Notebook
   2. Click on File
   3. Click on “Download As”
   4. Select “HTML (.html)"
   5. Verify the HTML File
3. Using nbconvert from the Command Line
   1. Install nbconvert (if not already installed)
   2. Open Your Terminal/Command Prompt
   3. Run nbconvert Command
   4. Verify the HTML File
4. Conclusion

Step-by-Step Guide

To export your current notebook in HTML format on Jupyter, follow the steps below:

Step 1: Open Your Notebook

First, open the notebook you want to export in Jupyter. You can do this by navigating to the directory where your notebook is saved and clicking on the notebook file (which has the extension .ipynb).

Step 2: Click on File

Next, click on the “File” menu at the top of the Jupyter interface. This will open a dropdown menu with various options.

Step 3: Click on “Download As”

From the dropdown menu, click on the “Download As” option. This will open another dropdown menu with options to download your notebook in various formats, including HTML, PDF, and Markdown.

Step 4: Select “HTML (.html)”

From the “Download As” dropdown menu, select the “HTML (.html)” option. This will start the download process, and your notebook will be saved in HTML format to your default download location.

Step 5: Verify the HTML File

Finally, verify that the notebook has been successfully exported in HTML format by opening the downloaded file in a web browser. You should be able to see your notebook with all its code, visualizations, and text rendered in HTML format.

Using nbconvert from the Command Line

Step 1: Install nbconvert (if not already installed)

If you don’t have nbconvert installed, you can install it using the following command in your terminal or command prompt:

pip install nbconvert

Step 2: Open Your Terminal/Command Prompt

Open a terminal or command prompt and navigate to the directory where your Jupyter notebook is located.

Step 3: Run nbconvert Command

Use the following command to convert your Jupyter notebook to HTML:

jupyter nbconvert --to html your_notebook.ipynb

Replace your_notebook.ipynb with the actual name of your notebook file.

Step 4: Verify the HTML File

After running the command, check the terminal output for any errors. If the conversion is successful, you should find an HTML file in the same directory as your Jupyter notebook.

Output example:

[NbConvertApp] Converting notebook Graphs.ipynb to html
[NbConvertApp] WARNING | Alternative text is missing on 4 image(s).
[NbConvertApp] Writing 560734 bytes to Graphs.html

Step 5: Open HTML File

Verify that the notebook has been successfully exported in HTML format by opening the generated HTML file in a web browser. Ensure that all code, visualizations, and text are rendered correctly.

Conclusion

Exporting your Jupyter notebook in HTML format is a simple and useful feature that allows you to share your work with others who may not have Jupyter installed on their machine. By following the step-by-step guide outlined in this article, you can easily export your current notebook in HTML format on Jupyter.

Jupyter notebooks are an essential tool for data scientists and software engineers, and being able to export them in various formats adds to their versatility. Whether you want to share your work with colleagues, publish it online, or simply save it for future reference, exporting your notebook in HTML format is a quick and easy way to do so.

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