To set Chrome as the browser for JupyterLab, open the config file jupyter_notebook_config.py (located in your home directory, in ~/.jupyter), find the browser section: I’ve never been able to make JupyterLab work with Internet Explorer, so this is not an optional step for me. Step 3 – Set Chrome as web browser for JupyterLab NB: I realize this is discouraged because it may cause interference with other software down the road, but I’ve found no issue yet (not a guarantee, of course, so do at your own peril), and it is much easier than having to add the path manually. Here I would suggest especially if you want the ability to start JupyterLab from the command prompt, the alternative setting: Step 2 – Install Anacondaįollow the official installation instructions to the letter, with the exception of step 8. NB: If you are one of those few still working with Python 2.7 (I was one until last fall), worry not, I will show you how to create a Python 2.7 virtual environment without much effort. Go to the Ananaconda website for the Windows distribution and download the Python 3.8 installer: Setting up JupyterLab with virtual environments on Windows 10 Step 1 – Download Anaconda I am hoping that even an absolute beginner will be able to follow these instructions, and go from zero to JupyterLab pro. 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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