Python visualization is beneficial due to its versatility, ease of use, integration with data science libraries, interactivity, community support, compatibility with Jupyter Notebooks, open-source nature, and the ability to create publication-quality graphics. These factors contribute to its popularity and effectiveness in various data visualization tasks.