ProfessionAI Open Library

Coding

• Think Python | Allen B. Downey | 2024 | (HTML, PDF) | EN
• Pensare da Informatico, Imparare con Python | Allen B. Downey | 2003 | (PDF) | IT
• Python per tutti: Esplorare i dati con Python 3 | Charles R. Severance | 2016 | (PDF) | IT
• Immersione in Python 3 | Mark Pilgrim | 2009 | (HTML) | IT
• Il Linguaggio C, Ansi C | Dennis Ritchie | 1985 | (PDF) | IT
• Principles of Algorithmic Problem Solving | Johan Sannemo | 2018 | (PDF) | EN
• Pull Requests and Code Review: Best Practices for Developers | Sébastien Castiel | 2023 | (MD) | EN

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Computer Science

• A Data-Centric Introduction to Computing | Kathi Fisler, Shriram Krishnamurthi, Benjamin S. Lerner, Joe Gibbs Politz | 2025 | (HTML) | EN
• CS Principles: Big Ideas in Programming | Mark Guzdial, Barbara Ericson | 2022 | (HTML) | EN
• Introduction to Computer Science | Jean-Claude Franchitti | 2024 | (HTML) | EN

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Computer Networks

• An Introduction to Computer Networks | Peter L. Dordal | 2023 | (HTML) | EN

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Database

• Database Design, 2nd Edition | Adrienne Watt | 2014 | (HTML) | EN
• Database Design Succinctly | Joseph D. Booth | 2022 | (PDF, HTML) | EN
• Database Exploration | C. J. Date, Hugh Darwen | 2013 | (PDF) | EN
• Database Management Systems, Solutions Manual | Raghu Ramakrishnan, Johannes Gehrke, Jeff Derstadt, Scott Selikof, Lin Zhu | ? | (PDF) | EN
• Database Fundamentals | Neeraj Sharma, Liviu Perniu, Raul F. Chong, Abhishek Iyer, Chaitali Nandan, Adi-Cristina Mitea, Mallarswami Nonvinkere, Mirela Danubianu | 2010 | (PDF) | EN
• Readings in Database Systems, 5th Edition | Peter Bailis, Joseph M. Hellerstein, Michael Stonebraker | 2015 | (PDF, HTML) | EN
• The Theory of Relational Databases | David Maier | 1983 | (PDF) | EN

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Data Science

• A Programmer's Guide to Data Mining | Ron Zacharski | 2015 | (PDF) | EN
• R Programming | Wikibook | 2025 | (HTML) | EN
• Data Mining Algorithms In R | Wikibook | 2025 | (HTML) | EN
• Elements of Data Science | Allen B. Downey | ? | (HTML) | EN
• Data Mining: Concepts and Techniques | Jiawei Han | 2022 | (PDF) | EN
• Data Science at the Command Line | Jeroen Janssens | 2021 | (HTML) | EN
• Feature Engineering and Selection: A Practical Approach for Predictive Models | Max Kuhn, Kjell Johnson | 2019 | (HTML) | EN
• Fundamentals of Data Visualization | Claus O. Wilke | 2019 | (HTML) | EN
• Foundations of Data Science | Avrim Blum, John Hopcroft, Ravindran Kannan | 2018 | (PDF) | EN
• Hands-On Data Visualization | Jack Dougherty, Ilya Ilyankou | 2025 | (HTML) | EN
• High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications | John Wright, Yi Ma | 2018 | (PDF) | EN
• Mining of Massive Datasets | Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman | 2014 | (PDF) | EN
• Theory and Applications for Advanced Text Mining | Shigeaki Sakurai | 2012 | (HTML) | EN

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Artificial Intelligence

• Artificial Intelligence, Third Edition | Patrick Henry Winston | 1992 | (PDF) | EN
• Artificial Intelligence: Foundations of Computational Agents, 3rd Edition | David L. Poole, Alan K. Mackworth | 2023 | (HTML) | EN
• Getting Started with Artificial Intelligence, Second Edition | Tom Markiewicz, Josh Zheng | 2020 | (PDF) | EN

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Machine Learning

• Machine Learning for Dummies | Judith Hurwitz, Daniel Kirsch | 2018 | (PDF) | EN
• Understanding Machine Learning: From Theory to Algorithms | Shai Shalev-Shwartz, Shai Ben-David | 2014 | (PDF) | EN
• The Mechanics of Machine Learning | Terence Parr, Jeremy Howard | 2018–2019 | (HTML) | EN
• Mathematical Engineering of Deep Learning | Benoit Liquet, Sarat Moka, Yoni Nazarathy | 2024 | (HTML) | EN
• The Elements of Statistical Learning | Trevor Hastie, Robert Tibshirani, Jerome Friedman | 2009 | (PDF) | EN
• Python Machine Learning Projects | Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, Alvin Wan | 2019 | (PDF) | EN
• Probabilistic Machine Learning: An Introduction | Kevin P. Murphy | 2022 | (PDF) | EN
• Practitioners Guide to MLOps | Google | 2021 | (PDF) | EN
• Pattern Recognition and Machine Learning | Christopher M. Bishop | 2006 | (PDF) | EN
• Mathematics for Machine Learning | Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong | 2020 | (PDF) | EN
• Machine Learning Simplified | Andrew Wolf | 2022 | (HTML) | EN
• Machine Learning with Python | ? | ? | (HTML) | EN
• Machine Learning from Scratch | Danny Friedman | 2020 | (HTML) | EN
• Interpretable Machine Learning | Christoph Molnar | 2025 (ed. 3) | (HTML) | EN
• Gaussian Processes for Machine Learning | Carl Edward Rasmussen, Christopher K. I. Williams | 2006 | (PDF) | EN
• Foundations of Machine Learning | Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar | 2018 | (eBook / preview) | EN
• Automated Machine Learning: Methods, Systems, Challenges | Frank Hutter, Lars Kotthoff, Joaquin Vanschoren (eds.) | 2019 | (PDF / eBook) | EN
• Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur | 2020 | (PDF) | EN
• Applied Machine Learning for Tabular Data | Max Kuhn, Kjell Johnson | 2025 (in corso) | (HTML) | EN
• An Introduction to Statistical Learning with R | Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor | 2023 | (PDF) | EN
• An Introduction to Statistical Learning with Python | Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor | 2023 | (PDF) | EN
• A Brief Introduction to Machine Learning for Engineers | Osvaldo Simeone | 2018 | (PDF) | EN