
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 6 - Jul 11
For Your Every Summer RSVP, with Code: SUMMER15
Description
Spider-Man Marvel Legends Retro Actionfigur Marvel's Owl 15 cm - Versand: 7 Tage nach BestellungBeschreibung: Mit Marvels Owl aus der Hasbro Marvel Legends Series kann die Spannung des Marvel Universums in der eigenen Sammlung zum Ausdruck gebracht werden. Die Marvel Sammelfigur in einer Skala von 15 cm kommt im Look des Charakters aus den Marvel Spider Man und Daredevil Comics. Die Marvels Owl Action Figur ist vollbeweglich, beeindruckt mit einem Premium Design und verfgt ber einen beweglichen Kopf sowie bewegliche Arme und Beine. Das Marvel
Beschreibung:
Mit Marvel’s Owl aus der Hasbro Marvel Legends Series kann die Spannung des Marvel Universums in der eigenen Sammlung zum Ausdruck gebracht werden. Die Marvel Sammelfigur in einer Skala von 15 cm kommt im Look des Charakters aus den Marvel Spider-Man und Daredevil Comics. Die Marvel’s Owl Action-Figur ist vollbeweglich, beeindruckt mit einem Premium-Design und verfügt über einen beweglichen Kopf sowie bewegliche Arme und Beine. Das Marvel Action-Figurenset enthält 3 Accessoires, darunter 2 austauschbare Hände und eine Eule plus ein abnehmbarer Schal. Hasbro Marvel Action-Figuren in einer Skala von 15 cm sind hervorragend geeignet, um sie in einer Fan-Kollektion zu präsentieren. Mit Marvel Legends Action-Figuren und Marvel Sammlerobjekten können die Szenen aus den Comics zu Hause nachgestellt werden.
Angaben zur Produktsicherheit:
- 4+
- CE
- ACHTUNG! Erstickungsgefahr. Kleine Teile
- ACHTUNG Nicht für Kinder unter 36 Monaten geeignet.
Artikelnummer: HASG2355
UPC/EAN: 5010996355904
Hersteller:
Hasbro SA
Rue Emile-Boéchat 31
2800 Delemont
CH
[email protected]
EU-Importeur
heo GmbH
West Campus 1
76863 Herxheim (DE)
[email protected]
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.9 ★★★★★
Based on 209 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025