Unfortunately, I don't know of any way to find and replace within a notebook, however it's possible for text files using the text editor via cmd + d on mac. One issue you might run into using jupiter lab is that it crashes easily when you try to enter very large directories or open really large files from the GUI. The benefits of using Jupyter Lab include the ability to easily combine code, output, and markdown into a single document an intuitive user interface for working with data science projects support for multiple languages such as Python, R, Julia, Scala and JavaScript integration with other popular tools like GitHub and Google Drive. You can also open up additional terminals in jupyter lab. You can always convert your jupyter notebook into a python script if you need to.Īlso, you can use jupyter lab as a way to edit code via ssh, so if you're not familiar with vim or emacs, it's a good way to edit, explore, and upload/download files. This is especially useful if your a data scientist. It's good for rapidly prototyping python code, exploring data, or making quick models. And even better, JupyterLab 3. If I'm editing code, I'm most definitely going to opt to use my favourite text editor and use it to only run and modify jupyter notebooks. The answer is simple JupyterLab: Jupyter’s Next-Generation Notebook Interface. The text editor built into jupyter lab is decent, but is definitely lacking compared to say sublime or vscode. In any case, I don't see any reason to choose jupyter notebook over jupyter lab (+1 for dark mode). JupyterLab is an interactive development environment for working with multiple notebooks in the same window, code editor, shells for multiple languages, data file viewers, terminals, and other custom dynamic components, and offers full support for Jupyter notebooks. However most of the time, I typically want to have access to multiple notebooks and files all at the same time, which jupyter lab is capable of. I find jupyter notebook is good for viewing and editing a single notebook.
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