How I use Poetry with Jupyter Notebook in VSCode

[README] - How I use Poetry with Jupyter Notebook in VSCode.md

Note

• You can copy any part that you want. Feel free!
• You can skip Step 1 and 2 if you aleady installed Poetry.

Poetry Setup Guide

Step 1 - Install Poetry

python3 -m pip install poetry

Step 2 - Verify Poetry Installation

poetry --version

Step 3 - Initialize Poetry in your Jupyter Notebook project

poetry init

Step 4 - Install dependencies

poetry add tensorflow matplotlib ipykernel

Step 5 - Get Poetry Environment Info Path

poetry env info --path

Step 6 - Activate the Poetry Environment

source your-poetry-venv/bin/activate

Step 7: Add the Poetry Environment as a Jupyter Kernel

ipython kernel install --name "your-new-poetry-env-name" --user
# OR poetry run ipython kernel install --name "tessaract-ocr-python-tuto" --user

step1.sh

python3 -m pip install poetry

step2.sh

poetry --version

step3.sh

poetry init

step4.sh

poetry add tensorflow matplotlib ipykernel

step5.sh

poetry env info --path

step6.sh

source your-poetry-venv/bin/activate

step7.sh

ipython kernel install --name "your-new-poetry-env-name" --user
# or
# poetry run ipython kernel install --name "your-new-poetry-env-name" --user

Hi @Ketan-K17, sorry for the late reply.

• Can you ensure that you have run poetry install successfully?
• After that you should verify that poetry env info --path gives you a proper virtual environment path like this:

• Then, you should run this command (step 6) without error:

Here, you might get an error because /bin/activate does not exist.

• You can start the kernel with the command in step 7:

• Finally, you can refresh the kernel (see the button inside the red square):

I think poetry is a tool that works upon conda (or pip), not equivalent to conda. Using poetry inside a conda env is easier than using a poetry env directly.