What is the difference between Jupyter Notebook and JupyterLab

Question

I am new to Jupyter Notebook  what is the key difference between the Jupyter Notebook and JupyterLab  suggest me to choose the best one  which should be used in future

User · Answer

I am using JupyterLab with Julia  First thing is that Jupyter lab from my previous use offers more  themes  which is great on the eyes  and also fontsize changes independent of the browser  so that makes it closer to that of an IDE  There are some specifics I like such as changing the  code font size  and leaving the interface font size to be the same  Major features that are great is  the drag and drop of cells so that you can easily rearrange the code collapsing cells with a single mouse click and a small mark to remind of their placement  What is paramount though is the ability to have split views of the tabs and the terminal  If you use Emacs  then you probably enjoyed having multiple buffers with horizontal and vertical arrangements with one of them running a shell  terminal   and with jupyterlab this can be done  and the arrangement is made with drags and drops which in Emacs is typically done with sets of commands   I do not believe that there is a learning curve added to those that have not used the  notebook  original version first  You can dive straight into this IDE experience

User · Answer

If you are looking for features that notebooks in JupyterLab have that traditional Jupyter Notebooks do not  check out the JupyterLab notebooks documentation  There is a simple video showing how to use each of the features in the documentation link  JupyterLab notebooks have the following features and more   Drag and drop cells to rearrange your notebook Drag cells between notebooks to quickly copy content  since you can have more than one open at a time  Create multiple synchronized views of a single notebook Themes and customizations  Dark theme and increase code font size

User · Answer

At this time  mid 2019   with JupyterLab 1 0 release  as a user  I think we should adopt JupyterLab for daily use  And from the JupyterLab official documentation      The current release of JupyterLab is suitable for general daily use     and     JupyterLab will eventually replace the classic Jupyter Notebook  Throughout this transition  the same notebook document format will be supported by both the classic Notebook and JupyterLab      Note that JupyterLab has a extensible modular architecture  So in the old days  there is just one Jupyter Notebook  and now with JupyterLab  and in the future   Notebook is just one of the core applications in JupyterLab  along with others like code Console  command-line Terminal  and a Text Editor

User · Answer

To answer your question directly  The single most important difference between the two is that you should start using JupyterLab straight away  and that you should not worry about Jupyter Notebook at all  Because   JupyterLab will eventually replace the classic Jupyter Notebook  Throughout this transition  the same notebook document format will be supported by both the classic Notebook and JupyterLab  But you would also like to also know this  Other posts have suggested that Jupyter Notebook  JN  could potentially be easier to use than JupyterLab  JL  for beginners  But I would have to disagree  A great advantage with JL  and arguably one of the most important differences between JL and JN  is that you can more easily run a single line and even highlighted text  I prefer using a keyboard shortcut for this  and assigning shortcuts is pretty straight-forward  And the fact that you can execute code in a Python console makes JL much more fun to work with  Other answers have already mentioned this  but JL can in some ways be considered a tool to run Notebooks and more  So the way I use JupyterLab is by having it set up with an  ipynb file  a file browser and a python console like this   And now you have these tools at your disposal   View Files  running kernels  Commands  Notebook Tools  Open Tabs or Extension manager Run cells using  among other options  Ctrl Enter Run single expression  line or highlighted text using menu options or keyboard shortcuts Run code directly in a console using Shift Enter Inspect variables  dataframes or plots quickly and easily in a console without cluttering your notebook output

User · Answer

This answer shows the python perspective  Jupyter supports various languages besides python  Both Jupyter Notebook and Jupyterlab are browser compatible interactive python  i e  python  quot  ipynb quot  files  environments  where you can divide the various portions of the code into various individually executable cells for the sake of better readability  Both of these are popular in Data Science Scientific Computing domain  I d suggest you to go with Jupyterlab for the advantages over Jupyter notebooks   In Jupyterlab  you can create  quot  py quot  files   quot  ipynb quot  files  open terminal etc  Jupyter Notebook allows  quot  ipynb quot  files while providing you the choice to choose  quot python 2 quot  or  quot python 3 quot   Jupyterlab can open multiple  quot  ipynb quot  files inside a single browser tab  Whereas  Jupyter Notebook will create new tab to open new  quot  ipynb quot  files every time  Hovering between various tabs of browser is tedious  thus Jupyterlab is more helpful here   I d recommend using PIP to install Jupyterlab  If you can t open a  quot  ipynb quot  file using Jupyterlab on Windows system  here are the steps   Go to the file -- gt  Right click -- gt  Open With -- gt  Choose another app -- gt  More Apps -- gt  Look for another apps on this PC -- gt  Click  This will open a file explorer window  Now go inside your Python installation folder  You should see Scripts folder  Go inside it  Once you find jupyter-lab exe  select that and now it will open the  ipynb files by default on your PC

User · Answer

Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents  It supports several languages like Python  IPython   Julia  R etc  and is largely used for data analysis  data visualization and further interactive  exploratory computing   JupyterLab is the next-generation user interface including notebooks  It has a modular structure  where you can open several notebooks or files  e g  HTML  Text  Markdowns etc  as tabs in the same window  It offers more of an IDE-like experience   For a beginner I would suggest starting with Jupyter Notebook as it just consists of a filebrowser and an  notebook  editor view  It might be easier to use  If you want more features  switch to JupyterLab  JupyterLab offers much more features and an enhanced interface  which can be extended through extensions  JupyterLab Extensions  GitHub

[python] What is the difference between Jupyter Notebook and JupyterLab?

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