Create Python Virtual Environment in Jupyter Notebook

How do I use virtualenv for Jupyter Notebook in Python?

Create Python Virtual Environment in Jupyter Notebook

Using a Virtual environment is essential for managing dependencies and ensuring that your projects remain isolated from each other. This guide will walk you through setting up and using virtualenv for jupyter Notebook in Python.

Why use Virtualenv?

Virtual environments allow you to create isolated spaces for your projects. This means you can have different versions of packages and dependencies for each project without conflicts. This is particularly useful when working with a clean and reproducible jupyter notebook environment.

Step-by-step Guide

1. Install Virtualenv: First, you need to install virtualenv it if you haven’t already. you can do this using pip .

pip install virtualenv

2. Create a Virtual Environment: Navigate to your project directory and create a separate environment.

virtualenv notebook_env

Replace, notebook_env with your preferred environment name.

3. Activate the Virtual Environment: Activate the virtual environment using the following command

• On Windows:

notebook_env\Scripts\activ…