And more often than not, we end up rearranging our cells just so it makes sense to our audience. JupyterLab provides a collapsible Left sidebar that contains some of the most used tabs, like file browser, running kernels, and a command palette making your work much more efficient:Īs a data scientist, I often present my work and results from within Jupyter notebooks. This allows you to comfortably work with multiple tabs at the same time: Well, that’s why JupyterLab comes with a flexible layout with which you can organize your workspace in any way you like!Īll you have to do is drag and drop, and resize the tabs in whichever way you want. JupyterLab also supports other file formats for viewing like jpeg, pdf, CSV, and much more!īut viewing so many of these windows can become cumbersome. JupyterLab brings the classic notebooks, text editor, terminal, and directory viewer all under one roof! It is a unified experience that you are bound to love. Honestly, it felt like working with three different software instead of one! But thanks to JupyterLab, you will have a much better experience working with these different features. Reason #10 – Easy switch to classic Notebook viewĭid you know that the classic Jupyter Notebook provides support for text editor and terminal in addition to the popular notebooks? Not a lot of data scientists are aware of this!īut it’s not our fault given that the features were just not integrated and it was no fun working with them.Reason #9 – Simultaneous preview for Markdown.Reason #4 – Copying cells between notebooks.You should also check out this nifty free course on data science hacks, tips, and tricks. Note: If you are new to the data science industry or have never used Jupyter before, I recommend going through this article which is a great introduction to Jupyter notebooks. So in this article, I am going to give you 10 reasons that will make you want to migrate to JupyterLab straight away. And trust me, you will love working won data science tasks in JupyterLab. Jupyter as we know it has transformed into JupyterLab with much-needed upgrades along with all the good old features. Better than Jupyter notebooks? I took my initial steps in data science with Jupyter holding my hand, how can I move on?Īnd what’s the alternate coding environment anyway? Step up, JupyterLab. Let me share with you what one of my data science mentors told me a while back – “It’s time to get over Jupyter notebooks, there is something better out there”. Even I’ve fallen for this line of thought! We take it for granted that this is the best Python coding environment out there. Honestly, Jupyter is synonymous when talking about data science. These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks for data science codingĬozying up with Jupyter? Time to move to JupyterLab!Īsk Python programmers which coding environment they prefer, the answer is invariably Jupyter notebooks.JupyterLab is a brilliant coding environment to perform data science tasks.
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