Virgilio organizes data science e-learning resources in a structured project overview.

virgili0.github.io/Virgilio
Virgilio homepage screenshot

About Virgilio

Virgilio is a data science e-learning site that organizes guides into a structured learning path. Material is divided into three levels: Paradiso, for high-level explanations of AI and machine learning concepts aimed at everyone; Purgatorio, for entry-level technical guides aimed at beginners; and Inferno, for advanced technical material aimed at experienced practitioners.

Key features

  • Three-tier path: Paradiso, Purgatorio and Inferno levels
  • Beginner guides on mathematics, statistics, Python and Jupyter Notebook
  • Data science process from problem framing to data preparation
  • Model training, evaluation, fine tuning and deployment guidance
  • Advanced topics including time series and computer vision
  • Supporting material on tools, research and soft skills
Best for: People who want a guided, level-based route into data science, from complete beginners to experienced practitioners looking for a reference point.
Good for
  • Learning material is separated into beginner, entry-level technical and advanced tracks
  • Homepage describes the guidance as free for everyone
  • Covers both conceptual explanations and the practical data project workflow
Watch out for
  • Material is presented in English only
  • No pricing or plan details are stated in the available source

Virgilio at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Virgilio FAQ

What are the three levels of Virgilio?
Paradiso covers high-level concepts for everyone, Purgatorio provides entry-level technical guides for beginners, and Inferno covers advanced technical material for experienced practitioners.
Who is Virgilio intended for?
The site lists students from other fields, curious newcomers, experienced practitioners, managers, businesspeople and salespeople among its intended readers.
What tools and libraries are covered?
The guides reference Python, Jupyter Notebook, OpenCV, TensorFlow, LaTeX, GeoGebra, regular expressions, Wolfram Alpha and Zotero.
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