SKU: 11131243967

LPD Canterbury White Composite Internal Door 78in x 30in x 35mm (1981 x 762mm)

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Description

LPD Canterbury White Composite Internal Door 78in x 30in x 35mm (1981 x 762mm)The Canterbury 4P Primed White Doors 762 x 1981 are a perfect addition to any traditional home. These internal doors are part of the Canterbury family and feature a Primed White FaceType. The DoorStyle is also Canterbury Internal White Primed, which adds to the traditional look of the doors. Unfortunately, there is no GlazingInfo available for these doors. However, the Finish is Primed and the Colour is White, which makes them easy to paint or stain

The Canterbury 4P Primed White Doors 762 x 1981 are a perfect addition to any traditional home. These internal doors are part of the Canterbury family and feature a Primed White FaceType. The DoorStyle is also Canterbury Internal White Primed, which adds to the traditional look of the doors. Unfortunately, there is no GlazingInfo available for these doors. However, the Finish is Primed and the Colour is White, which makes them easy to paint or stain to match any decor. These doors are 762mm wide, 1981mm high, and have a thickness of 35mm. They weigh 24kg and are not Fire_Resistant. The CoreType is Solid Engineered and the Lipping_framing_long_Edge is 20mm. These doors are FSC70 certified.

The Canterbury 4P Primed White Doors 762 x 1981 are perfect for those who want to add a traditional touch to their home. These doors are made with a solid engineered core, which makes them sturdy and durable. The 20mm Lipping_framing_long_Edge adds to the strength of the doors and ensures a perfect fit. The doors are also FSC70 certified, which means they are made from responsibly sourced materials. These doors are not Fire_Resistant, so they should not be used in areas where fire safety is a concern. However, they are easy to paint or stain to match any decor.

In summary, the Canterbury 4P Primed White Doors 762 x 1981 are a great addition to any traditional home. They are made with a solid engineered core and have a 20mm Lipping_framing_long_Edge, which makes them sturdy and durable. These doors are FSC70 certified and easy to paint or stain to match any decor. They are not Fire_Resistant, so they should not be used in areas where fire safety is a concern.

Key Features:

  • Family: Canterbury
  • FaceType: Primed White
  • DoorStyle: Canterbury Internal White Primed
  • GlazingInfo: N/A
  • Finish: Primed
  • Colour: White
  • Style: Traditional
  • DoorType: Internal Door
  • Barcode: 5036464002965
  • Thickness: 35mm
  • Width: 762mm
  • Height: 1981mm
  • Weight: 24kg
  • Fire_Resistant: No
  • Fire_Rating:
  • CoreType: Solid Engineered
  • Lipping_framing_long_Edge: 20mm
  • F_Certification: FSC70
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SKU: 11131243967

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Filipe Fernandes
Lowell, 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
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Eddwin Paz
Cuba, 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
Grantham, 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
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Joe Faith
Chelsea, 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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Tom C Taulli
Battle Creek, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025

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