SKU: 43394668616

Tazatina VCT7D5731B0 57-Inch Cast Iron Single Slipper Clawfoot Tub with 7-Inch Faucet Drillings, White/Matte Black

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Description

Tazatina VCT7D5731B0 57-Inch Cast Iron Single Slipper Clawfoot Tub with 7-Inch Faucet Drillings, White/Matte BlackTazatina VCT7D5731B0 57 Inch Cast Iron Single Slipper Clawfoot Tub with 7 Inch Faucet Drillings, White Matte Black Surround yourself with the perfumed aroma of your favorite candle, grab your favorite piece of literature, and soak all of the stresses of the day away with the all encompassing embrace of one of Kingston Brass' finest products, the clawfoot tub. Since the late 19th century, the claw foot tub has stood prominent among bathroom fixtures

Tazatina VCT7D5731B0 57-Inch Cast Iron Single Slipper Clawfoot Tub with 7-Inch Faucet Drillings, White/Matte Black

Surround yourself with the perfumed aroma of your favorite candle, grab your favorite piece of literature, and soak all of the stresses of the day away with the all-encompassing embrace of one of Kingston Brass' finest products, the clawfoot tub. Since the late 19th century, the claw foot tub has stood prominent among bathroom fixtures for its outstanding grandeur. The Aqua Eden 57-inch cast iron slipper clawfoot tub with 7-inch faucet drillings will wholly beautify your home for years to come thanks to its durable and heavy cast iron construction. Elegantly crafted clawfoot tub feet are included to further elevate your home's traditional eminence. Aside from its feet, this bathtub is enameled in glossy white for a classic look, exceptional durability, and easy care and maintenance for years to come.

Features

  • Fabricated from high quality cast iron material
  • Freestanding installation
  • Overall dimension: (L)56-7/8" x (W1)29-1/2" x (W2)30-1/2" x (H1)29-1/2" x (H2)22-5/8"
  • Water depth is 13-1/16" to overflow
  • 36.77 gallon tub capacity
  • Single slipper tub for added comfort
  • Drilled for deck mount faucets 7" center to center
  • Suitable for freestanding, wall mount, and deck mounted tub fillers
  • Reversible/end drain placement
  • Bathtub (but not feet) finished in glossy white enamel on all sides and rim
  • Built-in adjusters in tub feet for uneven floors
  • Eagle claw & ball design



Downloads / Specs

Specification Sheet
Parts Diagram
Installation Guide


Compatible Parts

Compatible parts and components for this item. Please also ensure each selected additional item is compatible as appropriate.

Drains: CC2080, CC2090, CC2710, DLL200MB, DLL210MB, DLT5301A0, DTL5303A0, DTT200MB, DTT5302A0, KBU2000, DLT2080

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SKU: 43394668616

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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
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★★★★★ 5
proper documentation from langchain
Format: Paperback
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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
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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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