What is Paz Corpus?
Paz Corpus is a personal experiment that explores how AI can transform raw study notes into beautifully formatted, clear, and accessible learning materials.
The content covers core Computer Science fundamentals — algorithms, databases, operating systems, computer networks, and more. Reading through these notes will help you gain solid, in-depth knowledge of CS subjects.
Originally created for GATE, India's national-level exam for engineering graduates, these notes are definitely helpful for GATE preparation — but the concepts are universal and valuable for CS students and professionals worldwide.
How It Works
Raw Notes
Personal notes from various sources — textbooks, lectures, and online resources — serve as the foundation.
AI Processing
AI agents analyze, structure, and enhance the content for clarity, consistency, and visual appeal.
Beautiful Output
The result is distill.pub-style articles with diagrams, interactive elements, and clean typography.
Knowledge Graph
Concepts are linked together in a knowledge graph, showing relationships between topics.
🔬 The Knowledge Graph Experiment
One of the most experimental aspects of Paz Corpus is our Knowledge Graph. Using AI, we're extracting concepts from each article and creating connections between them.
Concept Extraction
AI identifies key concepts, definitions, and relationships from the content.
Cross-Subject Linking
Concepts from different subjects are connected — like how "Trees" in Data Structures relates to "B+ Trees" in DBMS.
Visual Exploration (Coming Soon)
We're building an interactive D3.js graph that will let you visually explore how concepts connect across the curriculum.
Note: The knowledge graph is still in development. As we add more content, the connections will become richer and more useful.
Our Inspirations
📚 distill.pub
Special thanks to distill.pub for pioneering the art of clear, visual, and interactive scientific communication. Their work has been a major inspiration for how we present complex technical concepts.
"Clarity in explanation is clarity in thought."
🎓 Stanford's Code in Place
A heartfelt thanks to Mehran Sahami, Chris Piech, and the entire Stanford team behind Code in Place. Their mission to make programming education accessible to everyone around the world was a key inspiration for starting this project.
If you're new to programming, we highly encourage you to explore Code in Place — a free, world-class introduction to Python from Stanford University.
Standing on the Shoulders of Giants
This project is built for the community — for every student, professional, and curious mind looking to learn computer science. It wouldn't be possible without the countless researchers, engineers, and educators who have advanced this field.
🖥️ Computing Pioneers
Alan Turing, Claude Shannon, John von Neumann, Edsger Dijkstra, Donald Knuth, Dennis Ritchie, Ken Thompson, and countless others who laid the foundations of computer science.
🇮🇳 Indian Legends
P.C. Mahalanobis (statistics), C.R. Rao (mathematical statistics), Rajeev Motwani (algorithms, mentored Google founders), Narendra Karmarkar (linear programming), and the builders of India's IT revolution.
🤖 AI & ML Pioneers
Geoffrey Hinton, Yann LeCun, Yoshua Bengio (deep learning), Andrew Ng, Fei-Fei Li (ImageNet), Andrej Karpathy, and researchers pushing the boundaries of artificial intelligence.
💰 Research Funders
NSF, DARPA, Google Research, Microsoft Research, OpenAI, Stanford HAI, IITs, IISc, and all institutions that fund fundamental research, making breakthroughs possible.
Special gratitude to all the educators, textbook authors, and online instructors whose teachings form the foundation of these notes. We encourage (but don't require) exploring the reference textbooks that inspired this curriculum.