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Jupyterlab docker install#

Jupyterlab docker install#

What if you had different projects that require different versions of a library? Would you uninstall the old version and install the correct version every time you switch between the projects?.

Installing these dependencies directly on your computer is not a good idea because you would have a hard time ensuring to keep your computer clean. Provided you run a Unix-based operating system (macOS or Linux), you can install and start JupyterLab with two simple commands: python -m pip install jupyterlab jupyter labīut wait! As simple as the manual setup of JupyterLab may look at first sight as likely it is to not cater to all the things you need to do in your data science project.

JupyterLab has full support for Jupyter notebooks and enables you to use text editors, terminals, data file viewers, and other custom components side by side with notebooks in a tabbed work area. In 2018, Project Jupyter launched JupyterLab - an interactive development environment for working with notebooks, code, and data. Why do I need a JupyterLab-Configuration anyway? It explains the building blocks and enables you to customize the configuration to your needs, e.g. The remainder of this post gives you an overview of how this JupyterLab configuration works, conceptually.

But ya don’t have some hours, so I’ll do it for ya in a few minutes.