SKU: 75619794619

Globe Pintail 34" Longboard Complete

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Description

Globe Pintail 34" Longboard CompleteDas Globe Pintail 34" Longboard Complete ist das perfekte Board fr entspanntes Cruisen und agile Turns. Dank seiner kompakten Pintail Form ist es besonders wendig und ideal fr kleinere Fahrer oder alle, die sich mhelos durch die Stadt bewegen mchten. Das Deck aus 7 lagigem Hard Rock Maple mit Resin Epoxy sorgt fr Stabilitt und Langlebigkeit. Ausgestattet mit 180 mm Reverse Kingpin Trucks und 70 mm 78a Rollen, bietet das Board ein geschmeidiges

Das Globe Pintail 34" Longboard Complete ist das perfekte Board für entspanntes Cruisen und agile Turns. Dank seiner kompakten Pintail-Form ist es besonders wendig und ideal für kleinere Fahrer oder alle, die sich mühelos durch die Stadt bewegen möchten. Das Deck aus 7-lagigem Hard Rock Maple mit Resin-Epoxy sorgt für Stabilität und Langlebigkeit. Ausgestattet mit 180 mm Reverse Kingpin Trucks und 70 mm 78a Rollen, bietet das Board ein geschmeidiges Fahrgefühl und optimalen Grip – perfekt zum Carven und Cruisen. Das stylische Design mit bedrucktem Griptape und dipped Deck rundet den Look ab.

  • Wendiges Pintail-Design für leichtes Carven
  • Stabiler 7-Ply Ahorn mit Resin-Epoxy
  • 70 mm 78a Rollen für smoothes Cruisen
  • Reverse Kingpin Trucks für präzise Turns
  • Komplett montiert – sofort fahrbereit
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SKU: 75619794619

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4.1 ★★★★★
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B. Black
Grantham, 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Already outdated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
Port Orchard, 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
Boise, 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
Port Orchard, 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
Louisville, 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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