SKU: 12810353172

Little Witch Hazel: A Year in the Forest

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Little Witch Hazel: A Year in the ForestWritten and illustrated by Phoebe Wahl An earthy and beautiful collection of four stories that celebrate the seasons, nature, and life, from award winning author illustrator Phoebe Wahl. Little Witch Hazel is a tiny witch who lives in the forest, helping creatures big and small. She's a midwife, an intrepid explorer, a hard worker and a kind friend. In this four season volume, Little Witch Hazel rescues an orphaned egg, goes sailing on a raft, solves

Written and illustrated by Phoebe Wahl

An earthy and beautiful collection of four stories that celebrate the seasons, nature, and life, from award-winning author-illustrator Phoebe Wahl. Little Witch Hazel is a tiny witch who lives in the forest, helping creatures big and small. She's a midwife, an intrepid explorer, a hard worker and a kind friend. In this four-season volume, Little Witch Hazel rescues an orphaned egg, goes sailing on a raft, solves the mystery of a haunted stump and makes house calls to fellow forest dwellers. But when Little Witch Hazel needs help herself, will she get it in time? Little Witch Hazel is a beautiful ode to nature, friendship, wild things and the seasons that only Phoebe Wahl could create: an instant classic and a book that readers will pore over time and time again.

  • Publish Date: September 21, 2021
  • Pages: 96
  • Dimensions: 9.2 x 11.0 x 0.6 inches | 1.58 pounds
  • Type: Hardcover 
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SKU: 12810353172

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4.4 ★★★★★
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B. Black
Carnegie, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
Los Angeles, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
T
Tom C Taulli
Draper, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025
L
Lydia O
Carnegie, US
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
San Leandro, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025

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