title: jupyter notebook Error executing Jupyter command 'notebook': [Errno 2] No such file or directory
body: <p>just installed jupyter notebook, when I run jupyter notebook it says:</p>
  
  <pre><code>jupyter notebook Error executing Jupyter command 'notebook': [Errno 2] No such file or directory
  </code></pre>
  
  <p>So was trying to check which commands exist it says:</p>
  
  <pre><code>jupyter --help 
  ... 
  Available subcommands: kernel kernelspec migrate run troubleshoot trust
  </code></pre>
  
  <p>so no notebook command? so I tried:</p>
  
  <pre><code>jupyter run
  </code></pre>
  
  <p>it didn't fail, but not sure which port to access on localhost:8888 nothing there.. what do you think? anything i'm doing wrong?</p>
  
  <p>UPDATE: more information about the commands I used and environment:</p>
  
  <pre><code>➜  ~ pip list | grep jupyter
  DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning.
  jupyter-client (5.2.2)
  jupyter-core (4.4.0)
  ➜  ~ history | grep pip
    826  python -m pip install ipykernel
    827  python -m pip install ipykernel\n
    828  sudo python -m pip install ipykernel\n
    943  python -m pip install ipykernel
   1530  python -m pip install ipykernel\n
   1543  python -m pip install ipykernel\n
   1548  pip install nympy
   1550  pip install --upgrade pip\n
   1551  pip install numpy\n
   1552  pip install pyspark
   1553  pip install plotly
   1555  pip install mypy
   1565  pip install pandas
   1570  pip install matplotlib
   1575  pip install hydrogen-scala
   1577  python -m pip install jupyter-scala
   1620  pip install nltk
   1621  pip install sklearn
   1622  pip install scipy
   1669  pip list | grep jupyter
  
  ➜  ~ jupyter troubleshoot
  DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning.
  $PATH:
      /Users/myuser/.pyenv/versions/3.6.4rc1/bin
      /Users/myuser/.pyenv/versions/3.6.4rc1/bin
      /usr/local/Cellar/pyenv/1.2.0/libexec
      /Users/myuser/.rvm/gems/ruby-2.4.1/bin
      /Users/myuser/.rvm/gems/ruby-2.4.1@global/bin
      /Users/myuser/.rvm/rubies/ruby-2.4.1/bin
      /Users/myuser/.pyenv/shims
      /Users/myuser/.pyenv/bin
      /Users/myuser/Downloads/google-cloud-sdk/bin
      /Users/myuser/.nvm/versions/node/v8.4.0/bin
      /usr/local/bin
      /usr/bin
      /bin
      /usr/sbin
      /sbin
      /Users/myuser/.pyenv/bin
      /Users/myuser/.rvm/bin
  
  sys.path:
      /Users/myuser/.pyenv/versions/3.6.4rc1/bin
      /Users/myuser/.pyenv/versions/3.6.4rc1/lib/python36.zip
      /Users/myuser/.pyenv/versions/3.6.4rc1/lib/python3.6
      /Users/myuser/.pyenv/versions/3.6.4rc1/lib/python3.6/lib-dynload
      /Users/myuser/.pyenv/versions/3.6.4rc1/lib/python3.6/site-packages
  
  sys.executable:
      /Users/myuser/.pyenv/versions/3.6.4rc1/bin/python
  
  sys.version:
      3.6.4rc1 (default, Jan 25 2018, 23:18:04)
      [GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)]
  
  platform.platform():
      Darwin-17.3.0-x86_64-i386-64bit
  
  which -a jupyter:
      /Users/myuser/.pyenv/versions/3.6.4rc1/bin/jupyter
      /Users/myuser/.pyenv/versions/3.6.4rc1/bin/jupyter
      /Users/myuser/.pyenv/shims/jupyter
      /usr/local/bin/jupyter
  
  pip list:
      appnope (0.1.0)
      certifi (2018.1.18)
      chardet (3.0.4)
      cycler (0.10.0)
      decorator (4.2.1)
      idna (2.6)
      ipykernel (4.8.0)
      ipython (6.2.1)
      ipython-genutils (0.2.0)
      jedi (0.11.1)
      jsonschema (2.6.0)
      jupyter-client (5.2.2)
      jupyter-core (4.4.0)
      matplotlib (2.1.2)
      mypy (0.560)
      nbformat (4.4.0)
      nltk (3.2.5)
      numpy (1.14.0)
      pandas (0.22.0)
      parso (0.1.1)
      pexpect (4.3.1)
      pickleshare (0.7.4)
      pip (9.0.1)
      plotly (2.2.3)
      prompt-toolkit (1.0.15)
      psutil (5.4.3)
      ptyprocess (0.5.2)
      py4j (0.10.4)
      Pygments (2.2.0)
      pyparsing (2.2.0)
      pyspark (2.2.1)
      python-dateutil (2.6.1)
      pytz (2017.3)
      pyzmq (16.0.4)
      requests (2.18.4)
      scikit-learn (0.19.1)
      scipy (1.0.0)
      setuptools (28.8.0)
      simplegeneric (0.8.1)
      six (1.11.0)
      sklearn (0.0)
      tornado (4.5.3)
      traitlets (4.3.2)
      typed-ast (1.1.0)
      urllib3 (1.22)
      wcwidth (0.1.7)
  </code></pre>