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Python Environments on Ubuntu 24.04 TechCacheKB.com

Creating and Using Python Environments in Ubuntu 24.04


Ubuntu 24.04 typically comes with a reasonably up-to-date Python version, but it may not be Python 3.11, or whatever release version that you will need for your project. Below are the steps to create a virtual environment using the default Python version available in Ubuntu 24.04.

Prerequisites

  1. Update the Package List:
    Open a terminal and update the package list:
   sudo apt update
  1. Install Python and venv:
  • Install Python and the venv module: sudo apt install python3 python3-venv python3-dev
  1. Verify Python Installation:
  • Ensure Python is installed correctly: python3 --version

Step-by-Step Instructions

1. Create the Virtual Environment

Open a terminal and run:

python3 -m venv techcachekb

This command will create a directory named techcachekb which contains the virtual environment.

2. Activate the Virtual Environment

To start using the virtual environment, you need to activate it. Run the following command in the terminal:

source techcachekb/bin/activate

You should see (techcachekb) appear at the beginning of the command line, indicating that the environment is active.

3. Deactivate the Virtual Environment

To deactivate the virtual environment and return to the global Python environment, simply run:

deactivate

4. Using the Virtual Environment

When the virtual environment is active, any Python packages you install using pip will be installed in the techcachekb environment, not globally. Here are a few commands you might use:

  • Install a package:
  pip install package_name
  • List installed packages:
  pip list
  • Create a requirements file:
  pip freeze > requirements.txt
  • Install packages from a requirements file:
  pip install -r requirements.txt

Why Use a Python Virtual Environment?

  1. Dependency Management:
  • Different projects can require different versions of the same package. Virtual environments allow you to manage these dependencies separately for each project.
  1. Isolation:
  • Avoid conflicts between package versions and keep your system Python installation clean.
  1. Reproducibility:
  • By using a requirements.txt file, you can ensure that other developers (or your future self) can recreate the same environment with the exact dependencies.
  1. Security:
  • Installing packages in a virtual environment ensures that they do not affect system-wide packages, reducing the risk of inadvertently compromising system security.

Summary

Creating and using a Python virtual environment on Ubuntu 24.04 using the default Python version helps in managing dependencies and maintaining a clean and isolated workspace for your projects. This setup is essential for consistent, reproducible, and secure development practices.


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