Pyenv install Ubuntu - Shell/Bash

Introduction

As a programmer, it can be difficult to manage multiple versions of Python on your local machine. Pyenv is a tool that provides a solution to this problem by allowing you to install and manage multiple Python environments. In this tutorial, we will cover how to install Ubuntu using Pyenv.

Prerequisites

This tutorial assumes that you have a basic understanding of the command line and have Pyenv installed on your local machine.

Steps

Step 1: Install Pyenv

If you haven't already installed Pyenv, you can do so by following the instructions on their GitHub page. Once Pyenv is installed, you will need to update your shell profile to include the necessary environment variables. Here is an example for Bash:

echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n  eval "$(pyenv init --path)"\nfi' >> ~/.bashrc
source ~/.bashrc

Note: If you are using a different shell, such as zsh, fish, or csh, the commands will differ slightly.

Step 2: Install Ubuntu

To install Ubuntu using Pyenv, you simply need to run the following command:

pyenv install ubuntu

Pyenv will download and install the latest version of Ubuntu. Depending on your internet connection and the speed of your computer, this may take some time.

Step 3: Activate Ubuntu

Once Ubuntu is installed, you can activate it by running the following command:

pyenv global ubuntu

This will set Ubuntu as your global Python environment. You can also activate Ubuntu on a per-project basis by creating a .python-version file in your project directory with the following contents:

ubuntu

Step 4: Verify Installation

To verify that Ubuntu is properly installed, you can run the following command:

python --version

This should output the version of Python that comes with Ubuntu.

Conclusion

Congratulations! You have successfully installed Ubuntu using Pyenv. You can now switch between multiple Python environments on your local machine with ease.