![]() I’ve decided to summarize in this post my installation, which includes setting up JupyterLab and also creating virtual environments. Three times in the last couple of months I’ve had to make an installation from scratch on Windows 10 operated computers, using the Anaconda Python distribution: for a coworker’s desktop computer and my own, and for a friend on a laptop. I guarantee that if you’ve been working with Jupyter notebooks and liked them, you will easily switch to JupyterLab and will never look back, it is only natural (also check Terraforming Jupyter to get a flavor of how much you can customize this environment to suit your needs). ![]() If you wonder if this is the right tool for you, please browse the rich documentation on the JupyterLab Interface and on how to work with Notebooks, then make sure to watch the 2018 Scipy tutorial. I love JupyterLab, I really do! In my experience to date it proved to be the best environment for prototyping scientific computing applications interactively using Jupyter notebooks. last tested successfully onSepotember 27th, 2022.
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