jupyter not found after pip install jupyter

user_1018733 0
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After many different ways of trying to install jupyter, it does not seem to install correctly.

May be MacOS related based on how many MacOS system python issues I've been having recently

pip install jupyter --user

Seems to install correctly

But then jupyter is not found

where jupyter jupyter not found

Not found

Trying another install method found on SO

pip install --upgrade notebook

Seems to install correctly

jupyter is still not found

where pip /usr/local/bin/pip

What can I do to get the command line jupyter notebook command working as in the first step here: https://jupyter.readthedocs.io/en/latest/running.html#running

jupyter jupyter-notebook
4 Answers

Short answer: Use python -m notebook

After updating to OS Catalina, I installed a brewed python: brew install python. It symlinks the Python3, but not the python command, so I added to my $PATH variable the following:

/usr/local/opt/python/libexec/bin

to make the brew python the default python command (don't use system python, and now python2.7 is deprecated). python -m pip install jupyter works, and I can find the jupyter files in ~/Library/Python/3.7/bin/, but the tutorial command of jupyter notebook doesn't work. Instead I just run python -m notebook.

user_25531910

My MacOS has python 2.7, I installed python3 with brew, then the following commands work for me

brew install python3

brew link --overwrite python

pip3 install ipython

python3 -m pip install jupyter
user_97444520

You need to add the local python install directory to your path. Apparently this is not done by default on MacOS.

Try:

export PATH="$HOME/Library/Python/<version number>/bin:$PATH"

and/or add it to your ~/.bashrc.

user_95747670

Try solving this with Conda or Poetry.

Poetry makes it a lot easier to manage Python dependencies (including Jupyter) and build a virtual environment.

Here are the steps to adding Jupyter to a project:

  • Run poetry add pandas jupyter ipykernel to add the dependency
  • Run poetry shell to create a shell within the virtual environment
  • Run jupyter notebook to to fire up a notebook with access to all the virtual environment dependencies

The other suggested solutions are just band-aids. Conda / Poetry can give you a sustainable solution that's easy to maintain and will shield you from constant Python dependency hell.

user_11251590
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