5/17/2023 0 Comments Jupyter markdown![]() ![]() It’s up to you to determine which one works best for you. There are still many features to explore in this package. I hope you found these extensions helpful. In this article, we have explored 11 interesting Jupyter Notebook extensions, which are simple yet quite useful in improving the performance of the Jupyter Notebook. Or you can translate the cell contents using the following icon present in the toolbar. To activate it, select the “Move selected cell” checkbox. Moving cells or groups of cells with simple keystrokes is more useful. This simple and fast extension allows you to move selected cells using the ‘Alt-up’ and ‘Alt-down’ keyboard shortcuts. These are not necessarily in any specific order. Now let us explore and test 11 extensions from the Nbextensions package that can refine the performance of your existing Jupyter Notebook. These extensions can improve the productivity of your Jupyter Notebook. If the Nbextensions menu is not displayed, restart the Jupyter Notebook to reload it.Īs you can see, there are a variety of extensions available for specific purposes like code formatting, cell manipulation, auto-completion of code, spell checks, language translator, etc. When you click it, you will see a list of available extensions that you can use to increase your productivity of Jupyter Notebook. You will see a new tab, “Nbextensions” will appear in the menu (as shown in the image). jupyter contrib nbextension installĪfter installing, open Jupyter Notebook. Next, run the following code to add the nbextensions files into the Jupyter server’s search directory. ![]() We will run the following code in the command prompt to install these Jupyter Notebook extensions. As mentioned earlier, since most of the extensions are written in Javascript, these can be run locally in the browser. Jupyter Notebook ExtensionsĪll the extensions mentioned in this article are available through an open-source package, ‘jupyter_contrib_nbextensions.’ This python package includes multiple unofficial extensions provided by the community that extends the capability of the Jupyter Notebook. ![]() It is important to note that these extensions are not supported in Jupyter Lab. Written in JavaScript, these extensions are presently supported in the Jupyter Notebooks environment only. These extensions can autoformat the code, provide information while the cell is running, and display a browser message when code execution is finished. These are simple add-ons that improve the Jupyter Notebook environment’s core features. In such a situation, Jupyter Notebook extensions come in handy to make the above task easier. However, the vanilla environment lacks certain features which makes it tedious to handle complex codes. The basic Jupyter Notebook environment is more befitting for general training and educational machine learning/deep learning model development requirements. Therefore, most data science professionals tend to use Jupyter Notebooks to create and share documents, including code, equations, visualizations, computational outputs, markdown text, etc. The Jupyter Notebook supports more than 40 different programming languages like R, Python, Java, etc. Jupyter Notebook is an easy-to-use, open-source tool for web-based interactive computing. This article was published as a part of the Data Science Blogathon.
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