10 Compelling Reasons you Should Use JupyterLab for Data Science Coding


JupyterLab is a brilliant coding environment to carry out data science jobs
These 10 factors will encourage to switch to JupyterLab from Jupyter Notebooks for data science coding


Cozying up with Jupyter? Time to move to JupyterLab!

JupyterLab brings the traditional note pads, text editor, terminal, and directory site viewer all under one roofing! It is a unified experience that you are bound to like.

Let me share with you what one of my data science mentors told me a while back– “Its time to get over Jupyter notebooks, there is something better out there”. Better than Jupyter note pads?

Keep in mind: If you are new to the data science industry or have never ever used Jupyter before, I advise going through this article which is a terrific introduction to Jupyter note pads. You ought to also have a look at this nifty complimentary course on information science tricks, hacks, and tips


Ask Python developers which coding environment they choose, the answer is inevitably Jupyter notebooks. Truthfully, Jupyter is synonymous when discussing information science. We take it for given that this is the finest Python coding environment out there. Even Ive fallen for this line of idea!

But its not our fault given that the features were just not incorporated and it was no enjoyable dealing with them. Truthfully, it felt like dealing with 3 different software instead of one! Thanks to JupyterLab, you will have a much better experience working with these different features.

Reason # 1– Everything under one roofing.

Did you know that the traditional Jupyter Notebook supplies assistance for full-screen editor and terminal in addition to the popular notebooks? Not a lot of information researchers understand this!


And whats the alternate coding environment anyway? Step up, JupyterLab. Jupyter as we understand it has transformed into JupyterLab with much-needed upgrades along with all the good old features. And believe me, you will like working won information science tasks in JupyterLab.

Factor # 1– Everything under one roofing.
Factor # 2– Flexible Layouts.
Factor # 3– Cell rearrangement.
Reason # 4– Copying cells between note pads.
Factor # 5– Same notebook, more views.
Factor # 6– Code Consoles.
Factor # 7– Themes everywhere.
Factor # 8– Run code from a Text file.
Reason # 9– Simultaneous sneak peek for Markdown.
Reason # 10– Easy switch to traditional Notebook view

So in this short article, I am going to offer you 10 reasons that will make you desire to migrate to JupyterLab directly away.


JupyterLab likewise supports other file formats for seeing like jpeg, pdf, CSV, and far more!

Reason # 2– Flexible Layouts.

All you have to do is drag and drop, and resize the tabs in whichever way you want. This permits you to comfortably work with several tabs at the very same time:.

But seeing a lot of these windows can end up being troublesome. Well, thats why JupyterLab features a versatile layout with which you can organize your workspace in any way you like!


JupyterLab provides a retractable Left sidebar that consists of some of the most used tabs, like file browser, running kernels, and a command combination making your work much more effective:

Reason # 4– Copying Cells in between Notebooks.



As an information researcher, I frequently present my work and results from within Jupyter notebooks. And most of the time, we wind up reorganizing our cells simply so it makes sense to our audience.

You can drop the code and drag cell and location it anywhere you want, making the job of reorganizing a piece of cake. Now you are bound to get more appreciation coming your method since your notebooks are so stylish and make much more sense

Dragging and dropping cells within a notebook is something, however doing the exact same between different note pads is a different ballgame entirely.

Its in times like these that we wish there was an intrinsic performance in Jupyter which would permit us to easily drag and drop cells wherever we want rather of using the old way of cut and paste. Well, this is now possible inside JupyterLab.

Reason # 3– Rearranging Cells.

JupyterLab lets you copy cells from one notebook to another by simply utilizing the drag and drop option:

Reason # 6– Code Consoles.


One of the factors I love utilizing code consoles inside JupyterLab is that you can utilize them as a log of the computations you have actually made within a notebook. This is handy when you wish to look at the history of your code.


I discover this performance beneficial when I wish to choose certain columns from the dataframe however dont precisely remember their name. Rather of printing the dataframe time and once again, I simply open the dataframe in a separate view. This avoids me from composing redundant code while viewing the needed information at the exact same time– eliminating two birds with one stone!

Factor # 5– Same Notebook, More Views.

Working with long note pads can be annoying sometimes, specifically when you wish to explore various parts of the note pad at the very same time. Thats where the functionality of multi-views is available in. Now you can have multiple views of the same notebook put side-by-side for contrast inside JupyterLab.

We all enjoy code consoles for the simpleness they offer. Desire to evaluate out a piece of code or inspect out how to work?

Not just that, once you create a new view, but any change you make to either of the views will also be reflected in either of them and will be saved in the note pad!

All you need to do is right-click throughout the note pad and pick a New Console for Notebook. Then head over to the new console and choose Show All Kernel Activity and you are done. Now all the logs for your note pad will be conserved in the console:


Reason # 7– Themes Everywhere.

Who does not love styles? JupyterLab features a built-in Dark theme for the note pad, something that we all long for a lot specifically when burning the midnight oil nights under dim lights. Jupyter didnt stop at that.

They have come up with themes for the Text editor along with the Terminal. They really want you to be comfy with whatever you work with:

Sharing a text file with a piece of code composed in it? Double-check before sending it– a buggy code does not make an extremely enduring experience.

Factor # 8– Run Code from a Text File.


JupyterLab lets you produce a console for your text file. From here, you can just highlight your piece of code within the text file, press SHIFT + ENTER, and confirm its working:

Markdown files are fantastic because of all the flexibility and functionality they provide. However they get a bit tiring to work within Jupyter when you need to run your cell once again and again simply to see how your file looks or whether you have actually utilized the ideal syntax.

Reason # 9– Simultaneous Preview for Markdown.

Quite typically you would desire to share your data science project with the neighborhood. When you turn to a markdown file to record your working, and its in times like these.


To overcome this problem, JupyterLab lets you preview your markdown file simultaneously as you are working with it. This is not just much more efficient however likewise makes it a pleasure to deal with a markdown file:

Because I dont want you to go back to working with Jupyter note pads, I was hesitant to include this last feature. I do recognize it will be tough for some of you to part with something you began your data science journey with.

Reason # 10– Easy Switch to the Classic Notebook View.


So, for days when you are missing out on dealing with the great old Jupyter notebooks, there is a simple and great way to switch back to your old office. All you need to do is change the/ lab in the URL with/ tree:

You can also read this short article on our Mobile APP.

Ask Python developers which coding environment they prefer, the response is invariably Jupyter note pads. Working with long note pads can be irritating at times, specifically when you desire to explore various parts of the note pad at the exact same time. Now you can have several views of the same note pad put side-by-side for comparison inside JupyterLab.

Associated Articles.

End Notes.

I had a blast writing this post and I hope it was persuading enough to make you check out JupyterLab.

There is definitely a lot more to JupyterLab that I have not covered here. Do let me know in the remarks your preferred reason to move to JupyterLab. I would enjoy to hear your thoughts and feedback.

Also, I suggest discussing this remarkable article on Jupyter hacks, tips, and techniques due to the fact that despite the fact that you will be working with JupyterLab, the underlying Jupyter note pads are still the exact same!

All you have to do is right-click anywhere in the notebook and select a New Console for Notebook. JupyterLab comes with an integrated Dark theme for the note pad, something that we all crave so much specifically when working late nights under dim lights.



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