If you installed Miniconda instead of Anaconda Distribution (see Should I use Anaconda Distribution or Miniconda?), Anaconda Navigator is not included. Use the command conda install anaconda-navigator to manually install Navigator onto your computer.
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UPDATE: I am able to access the notebook now by using the URL printed to the console. I would still like to figure out how to get it to open with just the 'jupyter notebook" command the way it used to work before the update, but for now this is a useful workaround.
The basic solution was to make things consistent, as was suggested. I did 'conda install jupyter" because I was using another version of jupyter (which jupyter). Then I obtained an error in authorization, so I went with the traceback suggestion of
Spyder should be installed when you install the anacondadistribution. However, if spyder has not been installed (observedonce on a Mac M2 in December 2022), then use the command condainstall spyder to install it.
After this, I launched spyder from (base) and changed console settings to use /home/mpettet/anaconda3/envs/mne23/bin/python, as instructed, then quit and relaunched spyder. I still get the same spyder-kernels version error as my previous posting.
The following command:
(mne23) mpettet@aloha:$ conda install spyder-kernels=1.9.4
definitely seems to do what we want, but sadly, fails after about 15 minutes, disgorging an epic stream of output detailing all the unresolvable conflicts.
Jupyter is mostly used by beginners as well as companies. It has almost forty different programming languages and Python is one of them. Before installing the Jupyter notebook, you have to make sure that Python (Python 3.3 or greater, or Python 2.7) is already installed to your system. This is because installing the Jupyter Notebook requires Python.
Anaconda is an umbrella system for data science that includes many of the most important tools used in data science. Anaconda includes Python, several ways to use Python (Jupyter notebooks and the Spyder IDE), and it automatically installs many of the commonly used Python packages.
If you want to start off with many major data science tools at once, you should consider installing Anaconda. However, since Anaconda includes so much stuff, it can eventually sprawl to gigabytes in size. So if you are new to Python, you might start with a simpler Python distribution and upgrade to Anaconda later. (Note: if you upgrade to Anaconda, it reinstalls Python and may use a slightly earlier version than what is currently provided as the latest version at python.org.)
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