virtual-environments.md

Python Environments

Python environments with venv

Windows

python get-pip.py
python -m pip --version
py -m ensurepip --default-pip

python -m pip install

[notice] A new release of pip is available: 23.2.1 -> 25.3
[notice] To update, run: C:\<directory_path>\Python\Python312\python.exe -m pip install --upgrade pip

python -m pip install --upgrade pip
python -m pip --version

For install packages

python -m pip install requests

Linux

python3 -m ensurepip --default-pip

Windows

py -m venv venv

Linux

python3 -m venv venv
source venv/bin/activate

Python environments with Anaconda

Conda allows you to create separate environments, each containing their own files, packages, and package dependencies. The contents of each environment do not interact with each other.

The most basic way to create a new environment is with the following command:

conda create --name <env-name>

To add packages while creating an environment, specify them after the environment name:

conda create --name <env_name> python numpy pandas
conda create --name <env_name> python==3.11 pandas==2.2.2 seaborn==0.13.2 matplotlib==3.8.4
conda activate <env_name>

conda create --name envpython311 python==3.11 pandas==2.2.2 seaborn==0.13.2 matplotlib==3.8.4
conda activate envpython311

For more information on working with environments, see Managing environments.

List of conda environments

conda info --envs

output

conda environments:

   base           /home/username/Anaconda3
   myenvironment   * /home/username/Anaconda3/envs/myenvironment