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Free Download Defensive Cybersecurity with Python Programming: A Practical Guide to System Monitoring, Network Defense, and Automated Security Hardening
English | December 24, 2025 | ASIN: B0GCFL8YHY | 1365 pages | EPUB (True) | 4.73 MB
Go beyond theory and build the automated defenses that modern threats demand. The digital battlefield has changed. Attacks are faster, more automated, and more sophisticated than ever. Relying on manual checks and off-the-shelf tools is no longer enough. To truly secure your infrastructure, you must move from a reactive posture to a proactive, automated defense-and Python is your ultimate weapon. This volume, Defensive Cybersecurity with Python Programming , is a complete field manual for the modern guardian. Written for developers, system administrators, and security professionals, this standalone guide provides the practical skills you need to build intelligent, scalable, and automated security systems from the ground up. Inside this volume, you will master the art of automated defense, including: Real-Time System Monitoring: Go beyond static logs and listen to the pulse of your systems. Use psutil to build live process auditors, service monitors, and resource analyzers to detect behavioral anomalies in real time. Automated File Integrity Monitoring (FIM): Create immutable cryptographic baselines with hashlib and build a persistent FIM system to instantly detect unauthorized modifications to critical system files. Defensive Network Analysis: Build your own safe, non-intrusive port scanners with the socket module for internal asset inventory and use scapy to hunt for the subtle fingerprints of C2 beaconing in captured traffic. Compliance as Code: Transform manual checklists into automated scripts. Write Python to audit system configurations against industry-standard benchmarks like the CIS (Center for Internet Security) standards . Building a Lightweight SIEM: Master log parsing with Regular Expressions and pandas . Build a foundational event correlation engine to detect multi-stage attack patterns that span different log sources. "Shift Left" Security Automation: Integrate automated SAST , dependency vulnerability checks ( SCA ), and secret scanning directly into your CI/CD pipelines to create security gates that prevent vulnerable code from ever reaching production. Who This Book Is For: This standalone guide is engineered for intermediate to advanced Python developers , System Administrators , DevOps/SRE engineers , and security analysts (Blue Team) who want to move beyond theory and build practical, automated defenses. A solid understanding of Python, networking fundamentals, and core OS concepts is required. Stop reacting to threats. Start anticipating and automating your defense.

Free Download Defending the Metaverse (Advances in Cybersecurity Management) by Ravi Sheth, Mariya Ouaissa, Mariyam Ouaissa
English | June 15, 2025 | ISBN: 1032946830 | 354 pages | MOBI | 7.55 Mb
This book is aimed at a diverse audience including students, researchers, academicians, cybersecurity professionals, IT managers, Metaverse developers, business leaders, policymakers, and tech enthusiasts. This book is for everyone―from beginners to experts, researchers, and students. It offers insights and tools suitable for people with different levels of knowledge, making it accessible to a wide range of readers. The book fits alongside other published books by addressing the rapidly evolving intersection of cybersecurity and the Metaverse, a niche yet increasingly critical area.

Free Download Defending Religious Diversity in Public Schools: A Practical Guide for Building Our Democracy and Deepening Our Education By Nathan Kollar
2009 | 214 Pages | ISBN: 0313359970 | PDF | 1 MB
Defending Religious Diversity in Public Schools: A Practical Guide for Building Our Democracy and Deepening Our Education makes a powerful case for exposing students to the multiplicity of faiths practiced in the United States and around the world-then offers a range of practical solutions for promoting religious understanding and tolerance in the school environment.Nathan Kollar's timely volume centers on the common issues associated with respecting religion in people's lives, including religious identities, the religious rights of students, bullying and other acts of intolerance, and legal perspectives on what should and should not happen in the classroom. It then focuses on the skills teachers, counselors, and administrators need to master to address those issues, including forming an advocacy coalition, listening, cultural analysis, conflict resolution, institutional development, choosing a leader, and keeping up to date with all the latest research developments from both the legal and educational communities.

Free Download Defect Correction Methods for Fluid Flows at High Reynolds Numbers (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) by Alexander E. Labovsky
English | July 16, 2025 | ISBN: 1032410434 | 152 pages | MOBI | 3.01 Mb
Defect Correction Methods for Fluid Flows at High Reynold's Numberspresents the mathematical development of defect correction methods (DCM) in application to fluid flow problems in various settings. We will show several approaches to applying the DCM ideas in computational fluid dynamics (CFD) - from a basic idea of controlling the flow by the means of increased diffusion, to the state-of-the-art family of novel, DCM-based turbulence models. The main idea of the methods presented in this book, is to use defect correction in turbulence modelling; additionally, several methods will also be presented, that aim at reducing the time discretization error.

Free Download Deepfake-Pornos: Was du über gefälschte Sexvideos wissen solltest
Deutsch | 1. Januar 2025 | ASIN: B0DS2MCKFP | 144 Seiten | Epub | 689.74 KB
Deepfake-Pornos - gefälschte Sexvideos, die im Internet verbreitet werden - treffen längst nicht mehr nur Prominente wie Scarlett Johansson und Taylor Swift. Sie können auch eine gute Freundin von dir treffen. Oder vielleicht sogar dich selbst. Dieses Buch erklärt: Was sich hinter dieser neuen Bedrohung verbirgt. Wie du dich davor schützen kannst. Was du tun kannst, wenn du zum Opfer wirst. Was wir alle zusammen tun können, um dieses Übel in den Griff zu bekommen.

Free Download DeepSeek vs. ChatGPT - Der globale Wettlauf um KI, Finanzen & Marktmacht: Wie China und die USA um die Vorherrschaft in der KI kämpfen
Deutsch | 18. Februar 2025 | ASIN: B0DXS8LWTV | Pages not found | Epub | 18.56 MB
DeepSeek vs. ChatGPT - Machtkampf, Märkte & technische Tiefe Künstliche Intelligenz ist der Gamechanger unserer Zeit - und DeepSeek sowie ChatGPT stehen an der Spitze eines globalen Wettkampfs um die technologische Vorherrschaft. Doch was unterscheidet die beiden Systeme? Wie beeinflussen sie Wirtschaft, Politik und Sicherheit? Und welche Investitionschancen ergeben sich daraus? Dieses Buch liefert einen tiefgehenden, aber klar strukturierten Einblick in die technische, wirtschaftliche und geopolitische Dimension von KI . Es erklärt, warum Unternehmen, Regierungen und Investoren gleichermaßen von diesen Entwicklungen betroffen sind. Für wen ist dieses Buch? ✔ Investoren & Unternehmer - KI als Marktvorteil & wirtschaftliche Chance. ✔ Führungskräfte & Entscheider - Wer KI versteht, bleibt vorn. ✔ Tech-Interessierte & Analysten - Fakten ohne unnötigen Fachjargon. ✔ Praktiker & Anwender - Direkt umsetzbare KI-Prompts für Wirtschaft, Finanzen & Märkte. ✔ Alle, die schnelle & präzise KI-Ergebnisse wollen - Klar, praxisnah und direkt nutzbar. Was Sie in diesem Buch finden: ✔ DeepSeek vs. ChatGPT im Vergleich - Architektur & Stärken der Modelle. ✔ Geopolitik & Ethik - USA, China & EU - Wer setzt die Standards? ✔ Chancen & Risiken - Datenschutz, Deepfakes & wirtschaftliche Auswirkungen. ✔ Prompt Engineering & Chain-Prompts - Gezielte Optimierung von KI-Antworten. ✔ Open Source vs. Kommerzielle KI - Welche Strategie setzt sich durch? ✔ Cybersecurity & KI - Wie beeinflusst KI Hacking, Betrug & Fake News? ✔ Investitionschancen & Zukunftstrends - Wo liegt das nächste große Potenzial? ✔ Quantentechnologie - Ausblick in die KI-Zukunft. Zusätzliche Inhalte: ✔ Glossar & Tools - Alle wichtigen Begriffe verständlich erklärt. ✔ Direkte Begriffserklärungen - Kein Nachschlagen nötig, alles im Lesefluss integriert. ✔ Zahlreiche Grafiken & Statistiken - Klar & übersichtlich aufbereitet. Mehr als 100 direkt nutzbare KI-Prompts für: ✔ Wirtschafts- & Finanzanalysen - Marktprognosen, Unternehmensbewertungen & Investmentstrategien mit KI optimieren. ✔ DeepSeek vs. ChatGPT im direkten Vergleich - Unterschiedliche Modell-Ergebnisse bei wirtschaftlichen Fragestellungen. ✔ Chain-Prompting für präzisere Ergebnisse - Aufeinander aufbauende Abfragen für tiefere Einblicke statt oberflächlicher Einzelabfragen. Mein Motto: „Runterbrechen auf das Wesentliche - in einfacher Sprache!" Keine unnötigen Grundlagenkurse oder komplizierter Fachjargon. Dieses Buch bietet Ihnen den direkten Überblick über DeepSeek, ChatGPT & Künstliche Intelligenz - praxisnah, klar und sofort anwendbar. Erfahren Sie, wie KI Ihre Finanzen, Investitionen & den Arbeitsalltag erleichtert - und treffen Sie schnelle, fundierte Entscheidungen. Stefan Beierle, IT-Berater & Coach

Free Download Deep Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices
English | December 10, 2025 | ASIN: B0G63TW4XL | 333 pages | Epub | 20.74 MB
Deep Reinforcement Learning with Python This book provides a comprehensive, structured overview of reinforcement learning (RL), divided into four parts: foundations, core algorithms, advanced topics, and practical applications. 🟢 Part I: Foundations Lays the groundwork for RL by introducing its core concepts and mathematical background. It covers: What RL is and where it's applied (games, robotics, trading, etc.) Mathematical essentials : probability, linear algebra, and optimization Multi-armed bandits : simple decision-making problems with exploration strategies like ε-greedy, UCB, and Thompson Sampling Markov Decision Processes (MDPs) : the formal framework behind RL, including states, actions, rewards, transitions, and value functions Dynamic Programming : algorithms like value iteration and policy iteration that solve MDPs when models are known 🔵 Part II: Core Algorithms Focuses on model-free RL methods that learn from experience without full knowledge of the environment: Monte Carlo Methods : learning from episode returns (first-visit vs. every-visit) Temporal-Difference Learning : TD(0), SARSA, and Q-learning for online updates n-Step Methods & TD(λ) : blending Monte Carlo and TD approaches for more flexible credit assignment Policy Gradient Methods : directly optimizing the policy using REINFORCE, baselines, and actor-critic architectures 🔴 Part III: Advanced Topics Covers modern techniques and extensions used in cutting-edge RL systems: Function Approximation : using linear models or neural networks to scale RL to large or continuous spaces Deep Reinforcement Learning : deep Q-networks (DQN), experience replay, target networks, Double DQN, and Dueling DQN Advanced Policy Gradients : including PPO, TRPO, and Soft Actor-Critic (SAC) Exploration Techniques : intrinsic motivation, curiosity-driven learning, and count-based methods Multi-Agent RL : handling environments with multiple learning agents-cooperative, competitive, and with communication 🟠 Part IV: Practical RL Equips readers with real-world tools and insights for applying RL: Training Tips : how to debug RL agents, design reward functions, and tune hyperparameters Tools & Frameworks : walkthroughs of OpenAI Gym, Stable Baselines, and RLlib Case Studies : real-world RL applications in game playing (Atari, Go), robotics (OpenAI Dactyl), finance (J.P. Morgan), and autonomous driving (Wayve) Future Directions : exploration of meta-RL, offline RL, transfer learning, generalization, and ethics/safety in RL deployments ✅ Conclusion This book balances mathematical depth with hands-on application. It's designed for students, engineers, and researchers looking to understand how reinforcement learning works, how to implement it, and how to apply it in real-world scenarios.

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Dl4All is download free for all software and educational resource. With a little searching, you can download what you need for free without spending any money.

Dl4All - Download free For All: software and educational resource.

Defensive Cybersecurity with Python Programming A Practical Guide to System Monitoring, Network Defense, and Automated

Defending the Metaverse (Advances in Cybersecurity Management)

Defending Religious Diversity in Public Schools A Practical Guide for Building Our Democracy and Deepening Our Education

Defenders of the Reich

Defect Correction Methods for Fluid Flows at High Reynolds Numbers

Deepfake-Pornos Was du über gefälschte Sexvideos wissen solltest

DeepSeek vs. ChatGPT - Der globale Wettlauf um KI, Finanzen & Marktmacht Wie China und die USA um die Vorherrschaft in der KI

Deep Reinforcement Learning with Python Build next-generation, self-learning models using reinforcement learning

Deep Reinforcement Learning for Futures Trading Adaptive Algorithms for Volatility, Signals, and Market Regimes

Deep Learning for Biology Harness AI to Solve Real-World Biology Problems