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Description
The Earth Is Weeping: The Epic Story of the Indian Wars for the American WestWinner of the Gilder Lehrman Prize for Military History Winner of the 2017 Caroline Bancroft History Prize Shortlisted for the Military History Magazine Book of the Year Award After the Civil War the Indian Wars would last more than three decades, permanently altering the physical and political landscape of America. Peter Cozzens gives us both sides in comprehensive and singularly intimate detail. He illuminates the intertribal strife over whether to
Winner of the Gilder Lehrman Prize for Military HistoryWinner of the 2017 Caroline Bancroft History Prize
Shortlisted for the Military History Magazine Book of the Year Award After the Civil War the Indian Wars would last more than three decades, permanently altering the physical and political landscape of America. Peter Cozzens gives us both sides in comprehensive and singularly intimate detail. He illuminates the intertribal strife over whether to fight or make peace; explores the dreary, squalid lives of frontier soldiers and the imperatives of the Indian warrior culture; and describes the ethical quandaries faced by generals who often sympathized with their native enemies. In dramatically relating bloody and tragic events as varied as Wounded Knee, the Nez Perce War, the Sierra Madre campaign, and the Battle of the Little Bighorn, we encounter a pageant of fascinating characters, including Custer, Sherman, Grant, and a host of officers, soldiers, and Indian agents, as well as great native leaders such as Crazy Horse, Sitting Bull, Geronimo, and Red Cloud and the warriors they led. The Earth Is Weeping is a sweeping, definitive history of the battles and negotiations that destroyed the Indian way of life even as they paved the way for the emergence of the United States we know today. A Smithsonian Top History Book of 2016
A Times (UK) Book of the Year
Finalist for the Western Writers of America 2017 Spur Award in Best Western Historical Nonfiction
Binding Type: Paperback
Publisher: Vintage
Published: 09/05/2017
ISBN: 9780307948182
Pages: 592
Weight: 1.60lbs
Size: 9.20h x 6.10w x 1.20d
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4.8 ★★★★★
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
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Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025