SKU: 61597052032

Swiss Madison Plaisir 18 in. Rectangular Under-Mount Bathroom Sink in White

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Description

Swiss Madison Plaisir 18 in. Rectangular Under-Mount Bathroom Sink in WhiteSleek and contemporary, part of the Plaisir Collection, 18 in. Rectangular Under Mount Bathroom Sink features a timeless design that suits both traditional and modern bathroom decors. Blend it with your choice of counter tops for Rectangular Under Mount Bathroom Sink features a timeless design that suits both traditional and modern bathroom decors. Blend it with your choice of countertops for a clean look. Easy under counter installation Durable and

Sleek and contemporary, part of the Plaisir Collection, 18 in. Rectangular Under-Mount Bathroom Sink features a timeless design that suits both traditional and modern bathroom decors. Blend it with your choice of counter tops for Rectangular Under Mount Bathroom Sink features a timeless design that suits both traditional and modern bathroom decors. Blend it with your choice of countertops for a clean look.

  • Easy under-counter installation
  • Durable and scratch-resistant non-porous finish
  • Easy-to-clean polished surface
  • Coordinates with all faucets
  • 1 year limited warranty


Features
Item Weight 18.8
Shape Rectangular
Overflow location Front
Color/Finish White
Style Modern
Included No Additional Items Included
Material Ceramic
Product Weight (lb.) 14
Features Approved For Commercial Use
Returnable 180-Day
Color Family White
Faucet Hole Spacing (in.) No Faucet Hole
Inner bowl front to back length (in.) 13
Bathroom Sink Front to Back Width (In.) 13.50
Cut-Out Width (in.) 18.30
Inner bowl side to side width (in.) 18
Bathroom Sink Left to Right Length (In.) 18.30
Cut-Out Below Counter Depth (in.) 7.68
Bathroom Sink Top to Bottom Depth (in.) 7.68
Cut-Out Depth (in.) 13.25
Manufacturer Warranty 1 Year Limited Warranty
Certifications and Listings ADA Compliant

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SKU: 61597052032

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4.3 ★★★★★
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Verified Purchase
David Escobar
Waukegan, 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
Omaha, 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
Draper, 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
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B. Black
West Palm Beach, 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
Boise, 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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