Herren Casual Leder Fashion Sneakers Knöchel Chukka Boots Handgefertigte Leichte Loafer Mid-Top Dress Boots Walking Driving Schuhe
SKU: 48314303177

Herren Casual Leder Fashion Sneakers Knöchel Chukka Boots Handgefertigte Leichte Loafer Mid-Top Dress Boots Walking Driving Schuhe

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Description

Herren Casual Leder Fashion Sneakers Knöchel Chukka Boots Handgefertigte Leichte Loafer Mid-Top Dress Boots Walking Driving SchuheGrentabelle Etiketten Gre US UK EU Fulnge Fe Breite Inches Cm Inches Cm 39 6. 5 5. 5 39 9. 57 24. 3 3. 59 9. 113 40 7. 5 6. 5 40 9. 76 24. 8 3. 66 9. 3 41 8 7 41 9. 96 25. 3 3. 74 9. 487 42 8. 5 7. 5 42 10. 16 25. 8 3. 81 9. 675 43 9 8 43 10. 35 26. 3 3. 88 9. 862 44 10 9 44 10. 55 26. 8 3. 96 10. 05 45 10. 5 9. 5 45 10. 75 27. 3 4. 03 10. 237 46 11 10 46 10. 94 27. 8 4. 1 10. 425 47 11. 5 10. 5 47 11. 14 28. 3 4. 18 10. 612 48 12 11 48 11. 34 28. 8

Größentabelle

Etiketten Größe US UK EU Fußlänge Füße Breite
Inches Cm Inches Cm
39 6.5 5.5 39 9.57 24.3 3.59 9.113
40 7.5 6.5 40 9.76 24.8 3.66 9.3
41 8 7 41 9.96 25.3 3.74 9.487
42 8.5 7.5 42 10.16 25.8 3.81 9.675
43 9 8 43 10.35 26.3 3.88 9.862
44 10 9 44 10.55 26.8 3.96 10.05
45 10.5 9.5 45 10.75 27.3 4.03 10.237
46 11 10 46 10.94 27.8 4.1 10.425
47 11.5 10.5 47 11.14 28.3 4.18 10.612
48 12 11 48 11.34 28.8 4.25 10.8

 

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HAFTUNGSAUSSCHLUSS

Informationen zur Größe: Die Größe kann aufgrund des Handmaßes 2 cm / 1 Zoll Ungenauigkeit betragen. Diese Messungen dienen als Richtlinie für die Auswahl der richtigen Größe. Bitte nehmen Sie Ihre eigenen Maße und wählen Sie Ihre Größe entsprechend.
Informationen zur Farbe: Die genaue Farbe der Elemente kann je nach Monitor, Einstellungen und Lichtverhältnissen variieren. Die abgebildeten Artikelfarben sollten nur als ungefähre Richtlinie verwendet werden.

 

SCHUHKONSTRUKTION

Mesh-Obermaterial
Gummisohle

 

SCHUHDETAILS

Jahreszeit: Frühling, Sommer, Herbst, Winter
Schuhspitzenform: rund
Schuhhärte: hart
Anlass: Freizeit, Party, Sport, Reisen
Material: Latex
Schuhweite: normal

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SKU: 48314303177

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Verified Purchase
David Escobar
San Leandro, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Birmingham, 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
Charlottesville, 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
Lake Worth, 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
Pawtucket, 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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