README.md

Python Versioned Environments

This repository demonstrates how to create and manage different Python virtual environments for various Python versions using python3-venv.

Introduction

When working on projects that require specific Python versions or need isolation from system-wide Python packages, creating virtual environments is a good practice. This repository provides a guide on how to set up virtual environments for different Python versions.

Instructions

1. Install Python from the Official Website (Optional)

If you prefer to download and compile Python directly from the official Python website, follow these steps:

1.1 Install necessary build dependencies:

sudo apt-get update
sudo apt-get install -y build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev

1.2 Download and compile Python:

Replace X.Y.Z with the version number you want to install (e.g., 3.8.12):

wget https://www.python.org/ftp/python/X.Y.Z/Python-X.Y.Z.tgz
tar -xf Python-X.Y.Z.tgz
cd Python-X.Y.Z
./configure --enable-optimizations
make -j$(nproc)
sudo make altinstall

1.3 Verify installation:

Check the installed Python version:

python3.8 -V

2. Create Virtual Environments Using python3-venv

For Python 3.8:

python3.8 -m venv venv38

Activate the virtual environment:

source venv38/bin/activate

For Python 3.9:

python3.9 -m venv venv39

Activate the virtual environment:

source venv39/bin/activate

3. Install virtualenv (Optional)

pip install virtualenv

4. Use the Virtual Environments

Within each activated virtual environment, use pip to install project-specific dependencies:

pip install package_name

5. Deactivate the Virtual Environments

When you're done working in a virtual environment, deactivate it:

deactivate

6. Delete Virtual Environments (Optional)

To delete a virtual environment, run:

rm -rf path/to/venv

7. Contributing

Feel free to contribute improvements, additional instructions, or support for other Python versions!