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HISTORY OF IRAQ: THE CIVILIZATIONS, EMPIRES, INVASIONS, REVOLUTIONS, AND WARS THAT SHAPED THE LAND BETWEEN TWO RIVERS
English | October 9, 2026 | ASIN: B0HMHZ6FHK | 110 Pages | Epub | 1.46 MB
Before Iraq was a modern nation, it was already changing the course of human history.History of Iraq takes you from the fertile land between the Tigris and Euphrates to the wars, invasions, revolutions, and struggles that have shaped the country in the modern age.What you're about to discover may change how you see Iraq forever. This is the land where Sumerian cities rose, writing and the wheel emerged, Babylon reached legendary greatness, and Assyria built an empire feared across the ancient world. It is also the land where Baghdad became a remarkable center of knowledge during the Islamic Golden Age, bringing together scholars and ideas from different traditions.But Iraq's story is not only one of achievement. Few people understand how many times this land has been devastated and rebuilt. The Mongols destroyed Baghdad in 1258. Timur brought another terrible assault centuries later. Ottoman and Safavid powers fought for control. British intervention reshaped the modern state. Revolution, Saddam Hussein's rule, the Iran-Iraq War, the invasion of Kuwait, the Gulf War, sanctions, the 2003 invasion, and the rise of ISIS brought new generations of conflict.The hidden truth behind Iraq's history is that destruction never tells the whole story. Beneath the wars is a remarkable history of invention, scholarship, cultural exchange, survival, and resilience.Readers will gain a clear and engaging understanding of how ancient civilizations, powerful empires, religious and cultural changes, foreign intervention, and modern wars connected to shape Iraq as we know it today.Whether you're studying history, exploring the ancient world, trying to understand modern Iraq, or simply fascinated by civilizations that have survived thousands of years of change, this book offers a compelling journey through one of humanity's most historically important lands.Iraq's story is far from finished.Ready to uncover the history behind the land between two rivers? Get your copy today and begin the journey.

HERMES AI: Build Self-Improving AI Agents with Nous Research Hermes Agent, Memory, Skills, MCP, Multi-Agent Systems, Automation, and Local Models
English | October 7, 2026 | ASIN: B0HM6MNJK3 | 836 pages | Epub | 17.30 MB
Build AI Agents That Think, Act, Remember, Collaborate, and Improve-With Nous Research Hermes Agent.AI agents are moving beyond simple chatbots. The real challenge is building systems that can use tools, retain knowledge, coordinate specialized agents, automate complex workflows, recover from failures, and deliver reliable results.HERMES AI is a practical, project-driven guide to engineering powerful AI agents with Nous Research Hermes Agent.Through 30 hands-on chapters, you'll build Nexus, an evolving AI agent system that grows from a basic installation into a sophisticated, self-improving multi-agent architecture.What You'll Learn:Master Hermes Agent: Install, configure, and operate agents with profiles, persistent sessions, and powerful tools.Integrate Local and Hosted Models: Work with Ollama, llama.cpp, and cloud models to build flexible, cost-aware AI workflows.Build Intelligent Memory and Skills: Preserve knowledge, retrieve relevant context, and turn successful procedures into reusable capabilities.Connect External Systems with MCP: Integrate tools, APIs, databases, and services through the Model Context Protocol.Engineer Multi-Agent Systems: Delegate tasks to subagents, build persistent specialist Bots, and coordinate parallel workflows.Automate Real-World Work: Create scheduled jobs, event-driven workflows, monitoring systems, and messaging integrations.Extend and Secure Your Agents: Build plugins, enforce permissions, protect sensitive operations, and manage failures.Measure and Improve Performance: Evaluate agent behavior, analyze execution traces, detect regressions, and verify improvements.More Than Theory-Build a Complete AI Agent System.With practical configurations, engineering patterns, troubleshooting guides, failure labs, and a comprehensive final project, you'll learn how to transform individual AI capabilities into a reliable, connected system.Whether you're an AI developer, software engineer, automation specialist, or technical builder, this book provides a structured path from your first Hermes Agent to advanced AI orchestration.Stop building agents that only respond. Start engineering agents that can execute, learn from experience, and prove their results.

Guitar Chord Progressions 365: 52 Weeks of Daily Guitar Exercises-Essential Progressions, Chords, Strum Patterns, and Riffs for Intermediate & Advanced Guitarists (Music 365)
English | October 6, 2026 | ASIN: B0HM5CG743 | 232 pages | PDF | 11.49 MB
Guitar Chord Progressions 365: 52 Weeks of Daily Guitar Exercises—with free audio downloads and streaming—is presented in an easy-to-use, one-exercise-per-day format to teach you essential chord progressions you'll need to succeed as a guitarist!Inside this book are 50+ chord progressions and 365 exercises in all, one for each day of an entire year. Concepts such as major progressions, minor progressions, modal progressions, non-diatonic progressions, triads, seventh chords, extended chords, music theory, and strumming patterns are covered throughout the book to help you develop musicianship and musicality.The goal of this book is to provide a clear path to learning the essential chord progressions needed to make music, one day at a time. With just a few minutes of daily practice, you will not only learn essential chord changes, but also a multitude of chord voicing and a variety of ways to creatively apply the chords to rock-based riffs and pop strumming.WHAT'S COVERED:Major ProgressionsMinor ProgressionsModal ProgressionsNon-Diatonic ProgressionsRhythm Guitar TechniquesTriads & Seventh ChordsExtended ChordsStrumming PatternsPop, Rock, Jazz, Blues & Country StylesMusic TheoryAnd Much More!FREE: Access to instant audio downloads from Troy Nelson Music's website is included.BONUS: Includes customer support! Questions during practice? Just email us, and we'll happily help you.ABOUT MICHAEL BUTZEN: Michael Butzen is a Wisconsin-based musician and instructor with over 30 years of experience in the industry. Michael served as a transcriber and editor for music publisher Hal Leonard for three decades and also contributed monthly featured columns to Guitar One and Guitar Edge magazines.From 2008 to 2018, Michael fronted the critically acclaimed progressive rock band Fibonacci Sequence, releasing two full-length albums: Numerology (2010) and Cinema Finis (2017). He currently resides in the Milwaukee area with his wife and many guitars.ABOUT TROY NELSON MUSIC: Since 2016, Troy Nelson Music has offered customers the most comprehensive and easy-to-follow lesson books and songbooks for a variety of instruments—everything from guitar and mandolin to guitar, saxophone, and clarinet. With 30+ years in the music publishing industry, veteran guitarist Troy Nelson has sold hundreds of thousands of books as both an author and publisher due to the quality and effectiveness of his books and the service his company provides.

Grave Dealings: Body Snatching in Philadelphia, 1762-1883
English | 30 Sept. 2025 | ISBN: 1955041121 | 240 pages | Epub | 6.85 MB
This new history explores the social, cultural, practical and legal history of body snatching in America's first capital city.In the 18th century the first American medical school was established in Philadelphia. Following the model of European universities, anatomical lectures were conducted with cadavers. But where did the bodies come from? Dissection was viewed as a fate worse than death, and the only legal source of "stiffs" was executed criminals. But there were not enough. As the medical profession and its need for "anatomical material" grew, a new, macabre practice emerged: body snatching.Body snatchers secretly obtained bodies from cemeteries and sold them to medical schools for dissection. But how did body snatching work? How did body snatchers and medical schools avoid getting caught, and what happened when they did? How did the era of the body snatchers end? Grave Dealings: Body Snatching In Philadelphia, 1762-1883 digs through archives to unearth the forgotten history of a time of graveyard patrols and anatomy riots, when the dead needed protection from the living. Philadelphia pioneered and became the center of American medical education and practice-and body snatching-in the 18th and 19th centuries.Grave Dealings explores the social, cultural, practical, and legal aspects of body snatching in America's first capital city and relates it to the continuing ethical struggles that surround the treatment of human remains to this day.

God Amun, Lord of All Egypt: Gods of Egypt, Myth and Mystery, #6
English | August 10, 2026 | ISBN: 9798235475533 | 303 Pages | EPUB (True) | 1.28 MB
God Amun, Lord of All Egypt reveals the extraordinary ascent of the Hidden One - the invisible god whose breath shaped the destiny of a civilization. From humble beginnings in the wind-swept marshes of early Thebes, Amun rose to become the spiritual power behind Egypt's greatest pharaohs and the architect of an empire that stretched across continents. This book follows the evolution of Amun's worship from local mystery to global supremacy, showing how an unseen god became the guiding force of kingship, conquest, and cosmic order. His presence animated the temples of Karnak, directed the armies of Thebes, and united the spiritual and political life of the ancient world.

GitHub for Agentic Development: Use Issues, Pull Requests, Actions, Reviews, Branches, and AI Coding Agents to Run Software Projects
English | September 18, 2026 | ASIN: B0HGB325FD | 151 pages | EPUB (True) | 1.51 MB
A few years ago the hard part of running a software project was coordinating people, and today a new kind of teammate has joined the project. It does not sleep, it does not get bored by repetitive tasks, and it can open a pull request faster than you can finish your coffee, and learning to work with it well is the difference between a project that accelerates and one that quietly drowns in low quality automation. Whatever brought you here, you share a conviction this book was written to honor: that GitHub is no longer just a place to store code, and that it is the control room for a mixed team of humans and agents.This book is not a tour of every GitHub feature, not a prompt engineering manual, and not a theoretical treatment of artificial intelligence. What you actually need is an operating system for running a software project when part of your team is made of software agents, and that operating system is exactly what the pages ahead deliver.Inside, you will discover:• The new software team, and how to treat the agent like a tireless junior engineer• Setting up your repository so agents can actually understand it• Writing issues that agents can solve, with acceptance criteria that matter• Branches, pull requests, and the integration strategy that keeps the trunk clean• GitHub Actions as your quality gate, and branch protection that enforces it• Putting the coding agent in the loop, and reviewing AI generated code well• Security, secrets, daily operation, and the measurement that improves the workflowThe core idea is simple: issues become the contract for work, pull requests become the place where human judgment meets machine output, Actions becomes the automated gate, and review becomes the discipline that keeps everything trustworthy. The most important habit is to treat the agent like a brilliant, tireless, and commonsense-lacking junior colleague, and to give it a clear assignment, a protected branch, a suite of checks, and a senior reviewer.

GitHub Copilot in Practice: Accelerating Software Development with Agentic Workflows, Prompt Engineering, and IDE Automation
English | October 10, 2026 | ASIN: B0HMM8QF4D | 293 Pages | Epub | 627.62 KB
Are you ready to write better code, solve complex programming problems faster, and spend less time on repetitive development tasks? What if you could turn your IDE into a more intelligent workspace, use AI assistance more effectively, and build software with greater confidence? And how can you make GitHub Copilot work for you rather than simply accepting whatever code it suggests?GitHub Copilot in Practice: Accelerating Software Development with Agentic Workflows, Prompt Engineering, and IDE Automation by Arjun Mehta is your practical guide to answering these questions and transforming the way you approach modern software development.Whether you are a beginner exploring AI-assisted coding or an experienced developer looking to improve your productivity, this book helps you understand how to integrate GitHub Copilot into your everyday workflow. How do you write prompts that produce more relevant code? How can you evaluate AI-generated suggestions, identify potential errors, and maintain control over your implementation? You will learn how to approach these challenges with practical techniques that support better programming decisions.What if you could move beyond code completion and use AI assistance throughout your development process? Explore agentic workflows, prompt engineering strategies, and IDE automation techniques that can help streamline coding, refactoring, debugging, testing, and other essential tasks. Discover how to break down complex requirements, guide AI tools with clearer instructions, and review generated code critically instead of relying on suggestions without verification.Can repetitive development activities be simplified? Can you use AI to accelerate your workflow without sacrificing readability, maintainability, or code quality? This book examines practical approaches to working more efficiently while keeping software engineering fundamentals firmly in focus.You will also develop a stronger understanding of the limitations of AI-generated code, the importance of security-conscious development, and the need to validate outputs before integrating them into real projects.The goal is not simply to code faster; it is to make better decisions, build more reliable software, and use AI assistance intelligently.Are you ready to improve your workflow, strengthen your development skills, and discover new possibilities with GitHub Copilot?Get your copy of GitHub Copilot in Practice today and start building a smarter, more productive approach to software development!

Git and GitHub for Complete Beginners: Save Your Work, Undo Any Mistake, and Share It Without Fear Your First Commit, Your First Branch, and Your First Pull Request, No Coding Required
English | October 11, 2026 | ASIN: B0HMN4C62Q | 187 pages | Epub | 354.66 KB
Somewhere on your computer, there is a folder that tells on you.Budget-final-v2-REAL. Thesis-draft-NEW(2). The version you edited at eleven at night and can no longer identify. You keep every copy because you trust none of them and the system still fails on the day someone needs the right one.Git ends that. Not with talent, and not with a new personality. With a save button that has a memory.Git and GitHub for Complete Beginners assumes you have never opened a terminal, never written a line of code, and never created a GitHub account. It teaches its own prerequisites the six terminal moves it needs, plain-text files, installation on Windows, Mac, and Linux and then builds the skill one verified step at a time, on ordinary files instead of code, so nothing else is required.Inside, you will learn to:make your first commit in the first chapter, and read your history like a ledgerundo mistakes at three levels before saving, before committing, and after knowing exactly what each undo costsbranch, merge, and resolve your first conflict calmly, in a sandbox, before one arrives for realkeep your main line honest with a branch policy you can state in three sentencespush to GitHub, clone to a second machine, and keep both copies true with two habitsrun a complete pull-request loop: propose, review, comment, merge, clean upbuild and harden a repository of your own, and recover from the three disasters that hit almost everyoneEvery command shows the output you should see, and what it means when you don't see it. Every procedure works without , so nothing blurs in print or on a phone. Destructive commands sit behind warnings, and the two rules that matter most are stated absolutely, once, where they belong.

Get It Done With Claude: A Practical Guide to Building AI Systems, Automating Business Tasks, and Creating Income with Claude
English | October 8, 2026 | ASIN: B0HMDFLZ9W | 43 pages | Epub | 902.33 KB

Generative AI for Finance: Building Agents for Research and Trading
English | December 8, 2025 | ASIN: B0G5TJ5C7H | 327 pages | EPUB (True) | 5.97 MB
"Generative AI for Finance: Building Agents for Research and Trading"Generative AI is rapidly reshaping how financial institutions research markets, build strategies, and execute trades. This book is written for quantitative researchers, data scientists, technologists, and forward-looking portfolio managers who want to move beyond toy demos and build robust agentic systems for real-world finance. Blending practical engineering with rigorous quantitative thinking, it shows how to turn large language models into reliable collaborators for idea generation, analysis, and decision support.You will learn how to construct end-to-end pipelines that feed high-quality market and textual data into transformers, retrieval systems, and agent frameworks. Core topics include prompt design for financial tasks, retrieval-augmented generation over filings and news, and orchestration patterns that let agents reason, plan, and call tools such as risk engines, databases, and execution venues. The book also develops skills in evaluation, backtesting, and MLOps so that research and trading agents are measurable, debuggable, and governable rather than opaque black boxes.The text assumes comfort with Python and basic statistics but reviews the essentials of quantitative finance, machine learning, and reinforcement learning as needed. Examples emphasize production-grade design-covering performance engineering, compliance, security, and model risk-making this a practical guide for building agentic AI systems that can survive contact with real markets and real regulators.