SKU: 42724707751

Marla

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Description

MarlaMarla von Manos del Uruguay ist ein echtes Duo Garn untrennbar verbunden mit ihrer Schwester Sami. Beide bestehen aus 100 % feiner Merinowolle und werden von Hand gefrbt. Was Marla besonders macht: Zwei verschiedenfarbige Fden werden miteinander verzwirnt so entsteht ein lebendiger, leicht handgesponnen wirkender Melange Effekt, der ideal ist fr moderne Hebemaschenmuster bei Tchern, Pullis oder Mtzen. Sami ergnzt Marla perfekt. Die Farbpalette ist

Marla von Manos del Uruguay ist ein echtes Duo-Garn – untrennbar verbunden mit ihrer Schwester Sami. Beide bestehen aus 100 % feiner Merinowolle und werden von Hand gefärbt. Was Marla besonders macht: Zwei verschiedenfarbige Fäden werden miteinander verzwirnt – so entsteht ein lebendiger, leicht handgesponnen wirkender Melange-Effekt, der ideal ist für moderne Hebemaschenmuster bei Tüchern, Pullis oder Mützen.

Sami ergänzt Marla perfekt. Die Farbpalette ist harmonisch abgestimmt – in sanft changierenden, halb-unifarbenen Tönen. Gemeinsam sind die beiden wie geschaffen für mehrfarbige Projekte: von klassischen Einstrickmustern über Streifen bis zu bunten Kombinationen, die wirken, ohne zu schreien. Ob Dreieckstuch oder Rundpassenpullover – Marla und Sami bringen Farbe ins Spiel, geschmackvoll und besonders. Beide Garne bestehen aus 100 % Superwash-Merino: wunderbar weich, völlig kratzfrei und dabei angenehm pflegeleicht.

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SKU: 42724707751

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4.6 ★★★★★
Based on 29 reviews
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Verified Purchase
B. Black
West Palm Beach, 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Already outdated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
Los Angeles, 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
Battle Creek, 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
Lexington, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 10, 2025

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