One of my favorite keyboard shortcuts when coding is moving a line up or down. Keyboard shortcuts are great for improving efficiency. But which are most likely to contribute to your productivity in working with Jupyter notebooks? We checked and picked the brightest dozen. Simply tick the extensions you wish to install and the rest will be done behind the scenes.Īt the time of writing this there are dozens of extensions available for you to install. Once you have Nbextensions installed, the process for installing extensions is as simple as running Jupyter Notebook and navigating to the Nbextensions tab that will now be available. If your system does not recognize the pip command, you will need to install that first using the command line.
The first step is to install Nbextensions via the command line. Installing Jupyter Notebook extensions is a simple and streamlined process.
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How to install Jupyter Notebook Extensions
It can be a lot like writing code in Sublime Text after being acclimated to an IDE (Integrated development environment). However, a lot of efficiencies can be gained by installing a handful of extensions, transforming the authoring experience from being a tad tedious to a smooth ride. The bare installation of Jupyter Notebooks has the core features you need to code and display your data analysis. Jupyter Notebooks is web-based, making it platform-independent and accessible from a wide range of devices. It can print text, draw graphs, and query data all within a single work-frame. It is a tool that lets you run code inside a document and display the outputs. Jupyter Notebook is more than just a text editor. However, there are tools out there specifically designed for this purpose Sure, this could be done in a series of PowerPoint slides. A good data scientist needs to be able to present data to non-technical people in a way that they can understand. Data science isn’t just about mining and analyzing data.