LEGO® Star Wars™ 75445 Anzellan Starship
SKU: 66261001635

LEGO® Star Wars™ 75445 Anzellan Starship

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Description

LEGO® Star Wars™ 75445 Anzellan StarshipAchtung: Nicht fr Kinder unter 36 Monaten geeignet wegen verschluckbarer Kleinteile, Erstickungsgefahr. Artikelbeschreibung Serises Design Anzellan Starship Setnummer: 75445 Alter: 9+ Thema: Star Wars TM Awesome Star Wars vehicle for droid building fun Beschreibung Get on board the Anzellan Starship with Grogu for droid building fun! Jump in the cockpit and begin your creative mission. Join the Anzellans in their workshop and learn how to build and

„Achtung: Nicht für Kinder unter 36 Monaten geeignet wegen verschluckbarer Kleinteile, Erstickungsgefahr.“

Artikelbeschreibung - Seriöses Design

Anzellan Starship

Setnummer: 75445 | Alter: 9+

Thema: Star Wars TM

Awesome Star Wars™ vehicle for droid-building fun

Beschreibung

Get on board the Anzellan Starship with Grogu for droid-building fun! Jump in the cockpit and begin your creative mission. Join the Anzellans in their workshop and learn how to build and repair Battle Droids from the experts. Take a break for a drink and a blue cookie. When you reach your destination, deploy the landing gear, open the hatch, pull down the ramp and explore another planet!

Highlights:

  • Fun Star Wars: The Mandalorian and Grogu™ toy building set for kids
  • Place the Grogu figure and 2 Anzellans on board the brick-built starship model
  • Cockpit, droid-building workshop, landing gear, pull-down ramp and more
  • Designed for easy play with a lift-off roof and removable workbench
  • Cool Star Wars™ gift for kids, boys and girls ages 9 plus
  • Make the creative experience extra fun with the LEGO® Builder app
  • Discover more Star Wars: The Mandalorian and Grogu™ themed sets, sold separately
  • The Star Wars™ vehicle measures over 9.5 in. (25 cm) long

Abmessungen

  • Teileanzahl: 701
  • Produktkartonmaße: 262 x 76 x 282
  • Produktgewicht: 0,85 KG

Preisempfehlung

  • UVP:

Batterieinformationen

Online Beschreibung: Zur LEGO Online Anleitung

Barcode

5702018063033

Veröffentlicht am

26/04/2026 00:00

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SKU: 66261001635

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Verified Purchase
David Escobar
Charlottesville, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
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Filipe Fernandes
San Leandro, US
★★★★★ 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
E
Verified Purchase
Eddwin Paz
Louisville, US
★★★★★ 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
B
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B. Black
Port Orchard, US
★★★★★ 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
J
Joe Faith
Lowell, 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.
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Reviewed in the United States on July 17, 2025

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