jupyterlab-google-drive: Cloud storage for JupyterLab using Google Drive This can potentially save you from loss of work and help you make more granular changes to roll back to in case of bugs. Using Git from inside Jupyter is faster, easier and will help you develop the habit of pushing code changes more frequently. Git extension for Jupyter is a clean integration directly into the software. Coding without Git is just teasing Murphy’s Law. Git allows tracking changes over time, so you can feel secure that your code will not be lost, overwritten, or modified erroneously. When developing any code, even with the fewest lines, you would be remiss not to use Git. jupyterlab-git: A Git extension for JupyterLab That may include method names from libraries that you forgot how they’re called, which saves a lot of time Googling. TabNine uses machine learning to complete the names of methods or variables you have started typing and accurately guess what you might want to write next before you begin. Besides the time wasted typing out method names, a lack of auto-complete encourages shorter naming styles, which is less than ideal.Īuto-complete is an essential part of an efficient development environment. Typing out code without auto-complete features is a pain, especially when starting out. So really, either you already have it because you’re running the latest version of JupyterLab, or you should install it. The Debugger extension allows visual debugging, set breakpoints, and most anything else you expect a debugger to do. However, if you’re using JupyterLab 2 or earlier, you’ll want to add this extension to your arsenal. How core is it? This extension is now shipped with JupyterLab 3. DebuggerĪ debugger is a core feature when working with code, and JupyterLab is built to debug. It is all quite as simple as that! Top 9 JupyterLab Extensions to Enhance Productivity 1. Once extensions are enabled, you can use the search bar to find the extension you want and install it. Start by clicking the puzzle icon, and then enable. Jupyter labextension install other method is using the extension manager. Sometimes you would need more than one command if there are dependencies. The first is for CLI lovers, which, as you might have guessed, includes a simple command typed into the console. There are two ways to install extensions in JupyterLab. Regardless, here are the top 9 extensions you should know and see how they fit your hands. Some Extensions are universally useful, and nearly everyone will benefit from them, while others may be more niche, and their usefulness depends on how you use JupyterLab. Extensions provide those adjustments to JupyterLab to make it fit you like a glove. Just like the glove, a work environment can never suit you perfectly without some adjustments. What are JupyterLab Extensions, and Why Do You Need Them?Įven the best hand-made glove will not fit perfectly without a tailor taking your measurements. However, it is likely someone already has. It is easy to get into, even without knowledge of data science.Ībove all, JupyterLab is designed to be extensible to let you get the most out of your work environment with extensions. JupyterLab runs as a web application, so you can try out the web version or install it on your server. The language support is broad and covers your major data science languages: Python, Julia, R, and others. With a robust set of features, including graph drawing, real-time code execution, a built-in terminal, and everything you need for data science coding. JupyterLab is the tool that is synonymous with data science. Do you want to make JupyterLab your home for all things data science? Here’s what you need to know and have.
It is a culmination of usability and features that give Data Scientists all the tools they need to analyze data and present it in a way non-technical people can quickly grasp. JupyterLab is the next evolution of Jupyter Notebooks and a full-fledged IDE.
If you’re a data scientist, you must have heard about JupyterLab.
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