[FIXED] Virtual environment libraries do not update in Jupyter notebook?

Issue

So I have a virtual environment created with Anaconda, and I've also installed it into Jupyter notebook as this link describes:

python -m ipykernel install --user --name=<my_env_name>

However, whenever I install something new onto my_env_name, it doesn't work within the notebook. For example, I just did the following:

>>> pip install boto3 
>>> import boto3 

This works in the anaconda prompt.

However, if I try to do import boto3 in the notebook, I just get:

ModuleNotFoundError: No module named 'boto3'

Why isn't the libraries syncing up? I actually ran the ipykernel command again as well to see if that would fix it, but nope. If I run !pip install boto3 within the notebook, I just get a bunch of "requirement satisfied already". What could be the reason causing this issue?

Edit:

While checking the sys.executable I get:

C:\Users\MyUser\AppData\Local\Continuum\anaconda3\python.exe

But I probably should be getting this, correct?

C:\Users\MyUser\AppData\Local\Continuum\anaconda3\envs\my_env_name\python.exe

Solution

You may need to install kernel within the required environment using

python3 -m ipykernel install --user 

and then install required libraries within this environment. Just make sure ipykernel is installed in the virtualenv

---

If above solution does not work then you can try steps given below

Step 1: check the correct executable path of the anaconda environment. Go on command line, activate the conda environment then check the correct executable path for the environment.

conda activate {envronment name}

then on python console,

import sys
sys.executable

For instance on Linux it will be

/media/{username}/{path-to}/anaconda3/envs/{environment name}/bin/python

Step 2: correct the executable path for jupyter sessions From command line, check the path where kernel.json of your conda environment is located using below command

jupyter kernelspec list

For instance on Linux it will be:

/home/{username}/.local/share/jupyter/kernels/{environment name}

Open the kernel.json located in that folder and replace the incorrect executable path, as shown below.

{
 "argv": [
  "REPLACE-THIS-WITH-THE-CORRECT-EXECUTABLE-PATH",
  "-m",
  "ipykernel_launcher",
  "-f",
  "{connection_file}"
 ],
 "display_name": "heterodimers",
 "language": "python"
}

Answered By - Suhas_Pote