Skip to main content

jupyter contrib nbextension install gives Jupyter command `jupyter-contrib` not found

Trying to (re)install Jupyter's nbextension via the following steps in terminal

  1. pip install jupyter_contrib_nbextensions
  2. jupyter contrib nbextension
  3. install --user jupyter nbextension enable varInspector/main

Step 1 = runs and i am able to launch notebooks via "jupyter notebook" in terminal just fine.

Step 2 = fails with

usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]
               [--paths] [--json] [--debug]
               [subcommand]

Jupyter: Interactive Computing

positional arguments:
  subcommand     the subcommand to launch

optional arguments:
  -h, --help     show this help message and exit
  --version      show the versions of core jupyter packages and exit
  --config-dir   show Jupyter config dir
  --data-dir     show Jupyter data dir
  --runtime-dir  show Jupyter runtime dir
  --paths        show all Jupyter paths. Add --json for machine-readable
                 format.
  --json         output paths as machine-readable json
  --debug        output debug information about paths

Available subcommands: bundlerextension console execute kernel kernelspec
migrate nbconvert nbextension notebook qtconsole run serverextension
troubleshoot trust

Jupyter command `jupyter-contrib` not found.

python version = Python 3.10.2

my list of packages

Package                           Version
--------------------------------- ---------
argon2-cffi                       21.3.0
argon2-cffi-bindings              21.2.0
asteval                           0.9.26
asttokens                         2.0.5
attrs                             21.4.0
backcall                          0.2.0
black                             22.1.0
bleach                            4.1.0
cachetools                        5.0.0
certifi                           2021.10.8
cffi                              1.15.0
charset-normalizer                2.0.12
click                             8.0.4
colorama                          0.4.4
cycler                            0.11.0
db-dtypes                         0.3.1
debugpy                           1.5.1
decorator                         5.1.1
defusedxml                        0.7.1
entrypoints                       0.4
executing                         0.8.2
fonttools                         4.29.1
future                            0.18.2
google-api-core                   2.5.0
google-auth                       2.6.0
google-auth-oauthlib              0.5.0
google-cloud-bigquery             2.34.0
google-cloud-bigquery-storage     2.12.0
google-cloud-core                 2.2.2
google-crc32c                     1.3.0
google-resumable-media            2.3.0
googleapis-common-protos          1.55.0
grpcio                            1.44.0
grpcio-status                     1.44.0
idna                              3.3
ipykernel                         6.9.1
ipython                           8.0.1
ipython-genutils                  0.2.0
ipywidgets                        7.6.5
jedi                              0.18.1
Jinja2                            3.0.3
joblib                            1.1.0
jsonschema                        4.4.0
jupyter-client                    7.1.2
jupyter-console                   6.4.0
jupyter-contrib-core              0.3.3
jupyter-contrib-nbextensions      0.5.1
jupyter-core                      4.9.2
jupyter-highlight-selected-word   0.2.0
jupyter-latex-envs                1.4.6
jupyter-nbextensions-configurator 0.4.1
jupyterlab-pygments               0.1.2
jupyterlab-widgets                1.0.2
kiwisolver                        1.3.2
lmfit                             1.0.3
lxml                              4.8.0
MarkupSafe                        2.1.0
matplotlib                        3.5.1
matplotlib-inline                 0.1.3
mistune                           0.8.4
mpmath                            1.2.1
mypy-extensions                   0.4.3
nbclient                          0.5.11
nbconvert                         5.6.1
nbformat                          5.1.3
nest-asyncio                      1.5.4
notebook                          5.7.10
numpy                             1.22.2
oauthlib                          3.2.0
packaging                         21.3
pandas                            1.4.1
pandas-gbq                        0.17.1
pandocfilters                     1.5.0
parso                             0.8.3
pathspec                          0.9.0
patsy                             0.5.2
pickleshare                       0.7.5
Pillow                            9.0.1
pip                               22.0.3
platformdirs                      2.5.1
prometheus-client                 0.13.1
prompt-toolkit                    3.0.28
proto-plus                        1.20.3
protobuf                          3.19.4
pure-eval                         0.2.2
pyarrow                           6.0.1
pyasn1                            0.4.8
pyasn1-modules                    0.2.8
pycparser                         2.21
pydata-google-auth                1.3.0
Pygments                          2.11.2
pyparsing                         3.0.7
pyrsistent                        0.18.1
python-dateutil                   2.8.2
pytz                              2021.3
pywin32                           303
pywinpty                          2.0.2
PyYAML                            6.0
pyzmq                             22.3.0
qtconsole                         5.2.2
QtPy                              2.0.1
requests                          2.27.1
requests-oauthlib                 1.3.1
rsa                               4.8
scikit-learn                      1.0.2
scipy                             1.8.0
seaborn                           0.11.2
Send2Trash                        1.8.0
setuptools                        58.1.0
six                               1.16.0
sklearn                           0.0
stack-data                        0.2.0
statsmodels                       0.13.2
sympy                             1.9
terminado                         0.13.1
testpath                          0.6.0
threadpoolctl                     3.1.0
tomli                             2.0.1
tornado                           6.1
traitlets                         5.1.1
uncertainties                     3.1.6
urllib3                           1.26.8
wcwidth                           0.2.5
webencodings                      0.5.1
widgetsnbextension                3.5.2


source https://stackoverflow.com/questions/71257767/jupyter-contrib-nbextension-install-gives-jupyter-command-jupyter-contrib-not

Comments

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...