![]() Obviously you have to have these installed, and matplotlib so we can chart some stuff. It’s a bit cringeworthy as I like to do everything on the command line and safely within virtual environments, but since this is just Windows, meh, whatever.įirst some requirements. In the end, I eventually uninstalled all my attempts, started a fresh Jupyter Notebook session and installed everything from the notebook. Furthermore, it also uses IPython, a rich toolkit shell for base Python, and this is installed somewhere just as deep and just as cryptic. It turns out that Anaconda likes to create its own Python environment buried deep within the user’s roamin appdata (took me forever to find this). It seemed Jupyter Notebook was running off a different Python environment. However, I was quickly realising that since I had then installed Jupyter Notebook as part of the Anaconda Package, that my pip installs and updates to various packages where not being picked up by my notebook. This being the same environment that my Windows System Environment PATH variable is pointing to, and the same environment that I knew I had installed Python 3.7 to some months ago. I began as I usually do on a Linux machine running virtual python environments, and that is to command-line in to Python environment using Hyper in Windows. Yet the desire to have my Jupyter Notebooks look like this… Fig 1 – Jupyter Notebook dark theme, courtesy of dunovank’s Jupyter-themes github. My quest to see if I could get Dark Mode working for Jupyter Notebook on a 64-bit Windows 10 machine ended up costing me 3 nights.
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