SKU: 32029659506

✅RENAULT CLIO V 1.6 PETROL 2025 REAR LEFT DOOR LOCK MECHANISM 825032700R A331

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Description

✅RENAULT CLIO V 1.6 PETROL 2025 REAR LEFT DOOR LOCK MECHANISM 825032700R A331Description: REAR LEFT DOOR LOCK MECHANISM 825032700R Vehicle details: RENAULT CLIO V 1. 6 PETROL 2025 VF1RJA00775083660 Please check pictures carefully and ensure your part is the same. TERMS: All ECU's we are selling are removed from a vehicle without any reprogramming or resetting. PLEASE MAKE SURE YOU WILL BE ABLE TO INSTALL, RESET OR PROGRAM IT ON YOUR OWN, IF NEEDED. Engines Engine need to be fitted by qualified mechanics for any warranty to be

Description:

REAR LEFT DOOR LOCK MECHANISM 825032700R 

Vehicle details:

✅RENAULT CLIO V 1.6 PETROL 2025 

 VF1RJA00775083660

Please check pictures carefully and ensure your part is the same. 

TERMS:

All ECU's we are selling are removed from a vehicle without any reprogramming or resetting. PLEASE MAKE SURE YOU WILL BE ABLE TO INSTALL, RESET OR PROGRAM IT ON YOUR OWN, IF NEEDED.

 

Engines

 

Engine need to be fitted by qualified mechanics for any warranty to be valid. We recommend a new timing belt / cam belt kit, as this is one of the most common reasons for engine failure. Any accessories that are left on engine are free of charge and warranty on them does not apply, warranty only apply for bare engine. We ship our engines and gearboxes with no oil. Please refill the engine/gearbox with manufacturers recommended oil grade before attempting to start the engine

 

Warranty and Returns

Please Note: Unwanted orders will be collected subject to a 25% charge depending on your order (to cover the carrier's charges) this also includes failed deliveries after 3 attempts and refused orders at the point of delivery. This does not apply to products which are faulty - these will be collected/replaced free of charge.

All items come with a 30 days warranty from the date of purchase. Warranty relates to the supplied part(s) only, it expressly excludes any consequential loss & fitting/ labour charges. If an item arrive faulty, damaged or was lost in the post, we will send you a replacement. If a replacement is not available, then a full refund will be issued. If you buy the item by mistake, you change your mind or don't check part number, you are welcome to send the item back at your expense. If any unauthorized alterations are found to have been made to a part then any return will be refused. Refunds are issued within 1-2 working days of part returned.

Please note Delivery includes a main land delivery to Scotland, Northern Ireland any Islands will be for extra charge. Please request delivery price to your location. Thanks.

Authorised Treatment Facility (ATF) Waste Permit No.
EPR/WE0582AC/A001

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SKU: 32029659506

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David Escobar
Houston, 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
Fort Morgan, 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
Chelsea, 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
Belleville, 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
Carnegie, 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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