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Category: "Graph Theory"

Books

  1. Algorithmic Geopolitics: The 3-Stage Methodology
    Normalization, Aggregation, and Weighted Composition within the NationFiles Framework
    Sven Neawolf (Schmidt)

    Discover the logical heart of the NFSI. This paper explains the 3-stage pipeline used to transform heterogeneous OSINT signals into a traceable and auditable geopolitical stability index. Check the live data on https://nationfiles.com

  2. Algorithmic Geopolitics: Methodology of AI-Driven Real-Time Stability Indexing within the NationFiles Framework
    Methodology and Application of AI-Driven Geopolitical Risk Analysis: The Naciro Intelligence Engine
    Sven Neawolf (Schmidt)

    A deep dive into the NationFiles Stability Index (NFSI). Discover how 115+ real-time indicators and the Naciro Intelligence Engine redefine geopolitical risk analysis through transparent, rule-based 15-minute recalibration. Check the live data on https://nationfiles.com

  3. Learn LangGraph the fast, practical way by building real projects from your very first chapter. This hands-on guide cuts out the fluff and walks you step-by-step from simple graphs to powerful AI agents like ReAct and RAG. If you prefer learning by doing, this book will get you up and running quickly without overwhelming you.

  4. LLM Agent Patterns: From Single Agents to Orchestrations
    Build React, RAG, Self Consistent and Many More Pattern Agents
    Sourena Khanzadeh

    Move beyond prompts and learn the design patterns behind modern AI agents.From ReAct and RAG to planning, verification, memory, orchestration, and multi-agent collaboration, LLM Agent Patterns shows you how to build LLM systems that are not only powerful, but structured, reliable, and production-minded. If you want to understand how agentic systems actually work—and how to build them yourself—this book is your guide.

  5. How does computer science work?
    Answering 28 Key Questions Every Software Engineer Should Know
    Hela Ben Khalfallah

    "How Does Computer Science Work?" answers 28 key questions every software engineer should know, unraveling the technologies that shape our digital world. From how browsers work and cryptography secures data to AI, Web3, and quantum computing, this book bridges curiosity and understanding. Perfect for students, self-taught programmers, and seasoned developers, it’s your ultimate guide to mastering foundational concepts and cutting-edge innovations in computer science.

  6. Advanced Data Structures Handbook: The JavaScript Edition
    Simplifying Complexity for Real-World Applications
    Hela Ben Khalfallah

    Designed for JavaScript developers, this handbook dives into the practical implementation of advanced data structures such as B-Trees, Tries, and probabilistic models like Bloom Filters. Focused on real-world challenges, it explains how to handle large datasets, optimize caching, and implement efficient searches. With clear examples and technical depth, this book offers a realistic approach to applying advanced concepts in scalable and reliable systems.

  7. The Essential Guide to Blockchain Platforms
    A comparative guide from Bitcoin to Solana to Kaspa
    Ross P Green

    Never know which blockchain or crypto project to focus on or invest in? With so many projects out there, where do you start?! This guide helps you to make an educated decision, not a decision on a whim because someone said: "Hey, you gotta get in to this cool new crypto, it's pumping!" This book covers many blockchains both technically and comparatively, describing Bitcoin, Ethereum, Kaspa, Kadena, Algorand, Saito, Pulsechain, Solana, Sei, Bittensor and Nano. This book also asks the tough questions unveiling interesting insights:Does the Blockchain Trilemma really exist? Is the Trilemma a technological problem or an economic problem?Is there confusion on the definition of decentralisation? Is it better to focus on openness and non-excludability?Are the incentive mechanisms in many blockchains broken? Should all budget be focused on security, what about scalability and decentralisation?What is fee recycling attack? Which blockchain solves it? This is not just a guide; it's a roadmap for those seeking a deeper understanding of the technological nuances that differentiate blockchains.

  8. Visual Category Theory, CoPart 3
    A Dual to Brick by Brick, Part 3
    Dmitry Vostokov

    This CoPart is a dual complement to Visual Category Theory Brick by Brick, Part 3. It covers adjoint functors, diagram shapes and categories, cones and cocones, limits and colimits, pullbacks and pushouts.

  9. DataViz: How to Choose the Right Chart for Your Data is a short guide to all the different types of charts you’ll commonly encounter in statistics.It is a snappy little non-threatening book about everything you ever wanted to know about the craft of creating inspirational graphics for your study – irrespective of your audience.

  10. Visual Category Theory, CoPart 2
    A Dual to Brick by Brick, Part 2
    Dmitry Vostokov

    This CoPart is a dual complement to Visual Category Theory Brick by Brick, Part 2. It covers duality, products, coproducts, biproducts, initial and terminal objects, pointed categories, matrix representation of morphisms, and monoids.

  11. Visual Category Theory, CoPart 1
    A Dual to Brick by Brick, Part 1
    Dmitry Vostokov

    This CoPart is a dual complement to Visual Category Theory Brick by Brick, Part 1. The original series translated abstract categorical concepts into the language of LEGO® bricks, and the CoPart series implement the opposite way of translating brick constructions to the standard diagram language of category theory.

  12. Visual Category Theory Brick by Brick, Part 7
    Using LEGO® to Teach Abstract Mathematics
    Dmitry Vostokov

    The seventh part covers ideas related to functional programming: exponentials, disjoint unions, endofunctors and natural transformations, partial and total functions, monads.

  13. Network Analysis Made Simple
    An introduction to network analysis and applied graph theory using Python and NetworkX
    Eric Ma and Mridul Seth

    Are you interested in learning about graph theory and applied network analysis, leveraging your Python skills? Then this is the book for you! See how network science & graph theory connects with a variety of data analysis problems, and use it to solve your next data science challenge!

  14. Visual Category Theory Brick by Brick, Part 6
    Using LEGO® to Teach Abstract Mathematics
    Dmitry Vostokov

    The sixth part covers vertical and whisker compositions of natural transformations, identity and isomorphism of functors, equivalence, isomorphism, and adjoint equivalence of categories, functor and morphism categories, natural transformations as functors, representable functors, category of presheaves, Yoneda embedding and lemma.

  15. How to Lie with Numbers, Stats & Graphs
    A Box Set Containing Truth, Lies & Statistics and Graphs Don't Lie
    Lee Baker

    In these eye-opening books, award-winning statistician and author Lee Baker reveals the secrets of how the statistical hustlers use numbers, stats, graphs and charts to manipulate and misrepresent for political or commercial gain – and often get away with it.