Why users can install modules from pip but not from conda?

Why could I import googlemaps module in line 7 after pip install googlemaps but not after conda install googlemaps?

I understand a server reset will remove any new modules, but I would still like my users to have the capability of installing short-lived modules using either pip or conda.

If you give us more information about your user environment, for example your Dockerfile, any customisations you’ve made to your JupyterHub setup (ideally show us your Z2JH config with secrets redacted), and the full notebook, we might be able to help.

1 Like

I’m using vanilla jupyter/datascience-notebook, no customizations at all. Would you please point me the relevant part in the configuration you think may be related to this issue?

Notebook source:

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6c2659d0-31f4-45df-9d35-205146519722",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting package metadata (current_repodata.json): | \n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "conda install googlemaps -c conda-forge --yes --force-reinstall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f37652c7-7e1c-4f6b-8834-9e8e6cdffafb",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'googlemaps'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_167/3164823033.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mgooglemaps\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'googlemaps'"
     ]
    }
   ],
   "source": [
    "import googlemaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "08d49339-527c-4ee8-90c1-6b58fcfe7df2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting googlemaps\n",
      "  Using cached googlemaps-4.5.3-py3-none-any.whl\n",
      "Requirement already satisfied: requests<3.0,>=2.20.0 in /opt/conda/lib/python3.9/site-packages (from googlemaps) (2.26.0)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.9/site-packages (from requests<3.0,>=2.20.0->googlemaps) (2.0.0)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.9/site-packages (from requests<3.0,>=2.20.0->googlemaps) (1.26.6)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.9/site-packages (from requests<3.0,>=2.20.0->googlemaps) (3.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.9/site-packages (from requests<3.0,>=2.20.0->googlemaps) (2021.5.30)\n",
      "Installing collected packages: googlemaps\n",
      "Successfully installed googlemaps-4.5.3\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install googlemaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1a7f637f-d3e1-4a13-938e-4c1a91fa0db0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import googlemaps"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

On the off-chance you’ve missed it, in the first half of 2019 the %pip and %conda magics were added and are now the current best way to be running installs in the notebook.
The following are the current ways to use conda and pip in a notebook:

%pip install <python_package_name>
%conda install <dependency_name>

See here for more details.

More examples promoting this:

1 Like

Thank you. I wasn’t aware of that. Unfortunately I’m still unable to import the module after %conda install googlemaps -c conda-forge --yes (%pip install googlemaps works just fine).