Python Virtual Environment Management

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Introduction

Python virtual environment is a tool used to isolate different Python environments on a single machine. This is useful when working on projects that have different requirements, or when you want to avoid conflicting packages in your global Python environment.

Achievements

virtualenv Command
Activate Virtual Environment
Exit Virtual Environment
Assgin Python Version

Skills Graph

%%%%{init: {'theme':'neutral'}}%%%% flowchart RL python(("`Python`")) -.-> python/BasicConceptsGroup(["`Basic Concepts`"]) python(("`Python`")) -.-> python/PythonStandardLibraryGroup(["`Python Standard Library`"]) python/BasicConceptsGroup -.-> python/variables_data_types("`Variables and Data Types`") python/PythonStandardLibraryGroup -.-> python/data_collections("`Data Collections`") subgraph Lab Skills python/variables_data_types -.-> lab-96{{"`Python Virtual Environment Management`"}} python/data_collections -.-> lab-96{{"`Python Virtual Environment Management`"}} end

Creating Virtual Environment

First, let us create a Python virtual environment.

virtualenv venv

Now we have a virtual environment named "venv". Next, we can install Python packages in the virtual environment.

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Using Virtual Environment

Now, we use the source command to activate the virtual environment:

source venv/bin/activate

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Then, we install a third-path package:

pip install pygame

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pygame is success installed in this environment.

pip list

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Finally, use deactivate command to exit the virtual environment:

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We can see pygame is not installed in the main environment.

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Different Python Versions

We can also create a virtual environment using the Python version we want.

e.g. create a Python3 virtual environment, first, we must know where the Python3 is:

which python3

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then we can use -p to assign it:

virtualenv -p /usr/bin/python3 venv3

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Summary

Congratulations! You have completed the Python Virtual Environment Lab.

In this lab, you learned how to:

Create a Python virtual environment.
Use PyPI package manager to install packages in a Python virtual environment.
Manage different Python virtual environments.

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