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Description
A Busy Creature's Day Eating!Mo Willems delivers a smorgasbord of hunger, hubris, regret, and redemption as a Busy Creature hilariously chomps and chews its way from A to P and then to Z. Binding Type: Hardcover Publisher: Hyperion Books for Children Published: 03 06 2018 ISBN: 9781368013529 Pages: 32 Weight: 0. 85lbs Size: 7. 90h x 12. 20w x 0. 50d Review Citations: Publishers Weekly 01 22 2018 Booklist 02 01 2018 pg. 60 Kirkus Reviews 02 15 2018 Shelf Awareness 03 23 2018
Mo Willems delivers a smorgasbord of hunger, hubris, regret, and redemption as a Busy Creature hilariously chomps and chews its way from A to P and then to Z.Binding Type: Hardcover
Publisher: Hyperion Books for Children
Published: 03/06/2018
ISBN: 9781368013529
Pages: 32
Weight: 0.85lbs
Size: 7.90h x 12.20w x 0.50d
Review Citations: Publishers Weekly 01/22/2018
Booklist 02/01/2018 pg. 60
Kirkus Reviews 02/15/2018
Shelf Awareness 03/23/2018
School Library Journal 04/01/2018 pg. 113
Bulletin of Ctr for Child Bks 04/01/2018
Horn Book Magazine 05/01/2018 pg. 121
Hornbook Guide to Children 07/01/2018 - Superior,Well Above Average
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4.5 ★★★★★
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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Already outdated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