SKU: 87512163134

Nisbets Essentials Chest Freezer - 93Ltr 574mm

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Description

Nisbets Essentials Chest Freezer - 93Ltr 574mmSlimline, compact, and reliable, the Nisbets Essentials Chest Freezer is the perfect solution for maximizing frozen food storage in tight spaces. Ideal for both professional and domestic settings, this freezer efficiently stores large joints of meat, bags of vegetables, ice, and more. The Nisbets Essentials Chest Freezer doesnt just save space it offers reliability, style, and convenience in one compact package. The freezer is designed for ease of

Slimline, compact, and reliable, the Nisbets Essentials Chest Freezer is the perfect solution for maximizing frozen food storage in tight spaces. Ideal for both professional and domestic settings, this freezer efficiently stores large joints of meat, bags of vegetables, ice, and more.

The Nisbets Essentials Chest Freezer doesn’t just save space – it offers reliability, style, and convenience in one compact package.

The freezer is designed for ease of use, featuring a digital temperature controller with a fast-freeze function for quick setup and operation. At just 42dB, it operates quietly, making it suitable for noise-sensitive areas. With a lockable lid, it ensures secure storage, while the black steel exterior and front-mounted defrost drain allow for effortless cleaning and maintenance.

Key Features:

  • Capacity: 93Ltr – generous storage in a minimal footprint.
  • Dimensions: 845(H) x 574(W) x 564(D)mm.
  • Material: Durable and stylish painted steel.
  • Temperature Range: Adjustable from -28°C to 10°C.
  • Energy Efficient: Energy rating E.
  • Refrigerant: R600a with GWP 3.
  • Noise Level: Whisper-quiet at 42dB.
  • Design Highlights:
    • Handy basket for easy organization of contents.
    • Front-mounted defrost drain for effortless manual defrosting.
    • User-friendly digital control panel and temperature display.
    • Adjustable feet for stable positioning.
Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 87512163134

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4.6 ★★★★★
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Verified Purchase
David Escobar
Phoenix, 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
Verified Purchase
Filipe Fernandes
Grantham, 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
Birmingham, 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
Massapequa, 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
Charlottesville, 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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